Liang Gao
Orcid: 0000-0002-1485-0722Affiliations:
- Huazhong University of Science and Technology, State Key Laboratory of Digital Manufacturing Equipment and Technology, Wuhan, China
According to our database1,
Liang Gao
authored at least 421 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
Dynamic Balancing of U-Shaped Robotic Disassembly Lines Using an Effective Deep Reinforcement Learning Approach.
IEEE Trans. Ind. Informatics, April, 2024
Robotics Comput. Integr. Manuf., April, 2024
A Subdomain uncertainty-guided Kriging method with optimized feasibility metric for time-dependent reliability analysis.
Reliab. Eng. Syst. Saf., March, 2024
An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem.
Expert Syst. Appl., March, 2024
IEEE Trans. Evol. Comput., February, 2024
Incorporating gradient information into dimension perturbation mutation for high-dimensional expensive optimization.
Swarm Evol. Comput., February, 2024
A Kriging-assisted Double Population Differential Evolution for Mixed-Integer Expensive Constrained Optimization Problems with Mixed Constraints.
Swarm Evol. Comput., February, 2024
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications.
Swarm Evol. Comput., February, 2024
A Multi-level spatial feature fusion-based transformer for intelligent defect recognition with small samples toward smart manufacturing system.
Int. J. Comput. Integr. Manuf., February, 2024
Surrogate-Assisted Multi-Objective Evolutionary Optimization With Pareto Front Model-Based Local Search Method.
IEEE Trans. Cybern., January, 2024
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Instrum. Meas., 2024
A Multi-MILP Model Collaborative Optimization Method for Integrated Process Planning and Scheduling Problem.
IEEE Trans. Engineering Management, 2024
2023
A Constraint-Handling Technique for Decomposition-Based Constrained Many-Objective Evolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023
A New Foreground-Perception Cycle-Consistent Adversarial Network for Surface Defect Detection With Limited High-Noise Samples.
IEEE Trans. Ind. Informatics, December, 2023
Swarm Evol. Comput., December, 2023
A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem.
Swarm Evol. Comput., December, 2023
A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling.
Swarm Evol. Comput., December, 2023
A novel MILP model and an improved genetic algorithm for disassembly line balancing and sequence planning with partial destructive mode.
Comput. Ind. Eng., December, 2023
A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals.
Comput. Ind. Eng., November, 2023
Surrogate-assisted operator-repeated evolutionary algorithm for computationally expensive multi-objective problems.
Appl. Soft Comput., November, 2023
A Competitive and Cooperative Swarm Optimizer for Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., October, 2023
Nondominated sorting genetic algorithm-II with Q-learning for the distributed permutation flowshop rescheduling problem.
Knowl. Based Syst., October, 2023
A matheuristic for flexible job shop scheduling problem with lot-streaming and machine reconfigurations.
Int. J. Prod. Res., October, 2023
An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem.
Eur. J. Oper. Res., October, 2023
Two novel MILP models with different flexibilities for solving integrated process planning and scheduling problems.
J. Oper. Res. Soc., September, 2023
Expert Syst. Appl., September, 2023
Inf. Sci., August, 2023
An improved multi-population genetic algorithm with a greedy job insertion inter-factory neighborhood structure for distributed heterogeneous hybrid flow shop scheduling problem.
Expert Syst. Appl., July, 2023
Robotics Comput. Integr. Manuf., June, 2023
A hierarchical training-convolutional neural network with feature alignment for steel surface defect recognition.
Robotics Comput. Integr. Manuf., June, 2023
A new hyper-parameter optimization method for machine learning in fault classification.
Appl. Intell., June, 2023
Adaptive Auxiliary Task Selection for Multitasking-Assisted Constrained Multi-Objective Optimization [Feature].
IEEE Comput. Intell. Mag., May, 2023
Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System.
IEEE Trans. Intell. Transp. Syst., April, 2023
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
A surrogate-assisted differential evolution for expensive constrained optimization problems involving mixed-integer variables.
Inf. Sci., April, 2023
Int. J. Prod. Res., April, 2023
Solving multi-task manufacturing cloud service allocation problems via bee colony optimizer with transfer learning.
Adv. Eng. Informatics, April, 2023
Unsupervised Image Anomaly Detection and Segmentation Based on Pretrained Feature Mapping.
IEEE Trans. Ind. Informatics, March, 2023
A Hybrid Evolutionary Algorithm Using Two Solution Representations for Hybrid Flow-Shop Scheduling Problem.
IEEE Trans. Cybern., March, 2023
Energy-efficient distributed heterogeneous blocking flowshop scheduling problem using a knowledge-based iterated Pareto greedy algorithm.
Neural Comput. Appl., March, 2023
An effective memetic algorithm for the distributed flowshop scheduling problem with an assemble machine.
Int. J. Prod. Res., March, 2023
An Effective Solution Space Clipping-Based Algorithm for Large-Scale Permutation Flow Shop Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2023
A Pixel-Level Segmentation Convolutional Neural Network Based on Global and Local Feature Fusion for Surface Defect Detection.
IEEE Trans. Instrum. Meas., 2023
A New Multiscale Multiattention Convolutional Neural Network for Fine-Grained Surface Defect Detection.
IEEE Trans. Instrum. Meas., 2023
Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
A New Contrastive GAN With Data Augmentation for Surface Defect Recognition Under Limited Data.
IEEE Trans. Instrum. Meas., 2023
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems.
IEEE Trans. Evol. Comput., 2023
A Constrained Many-Objective Optimization Evolutionary Algorithm With Enhanced Mating and Environmental Selections.
IEEE Trans. Cybern., 2023
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times.
Swarm Evol. Comput., 2023
Surrogate-assisted multi-objective evolutionary optimization with a multi-offspring method and two infill criteria.
Swarm Evol. Comput., 2023
Towards multi-task transfer optimization of cloud service collaboration in industrial internet platform.
Robotics Comput. Integr. Manuf., 2023
A general framework of surrogate-assisted evolutionary algorithms for solving computationally expensive constrained optimization problems.
Inf. Sci., 2023
Complementary surrogate-assisted differential evolution algorithm for expensive multi-objective problems under a limited computational budget.
Inf. Sci., 2023
Optimisation framework and method for solving the serial dual-shop collaborative scheduling problem.
Int. J. Prod. Res., 2023
Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection.
CoRR, 2023
Distributed Permutation Flow Shop Scheduling Method Based on Efficient Job Allocation Strategy.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
A Subdomain Uncertainty-Guided Kriging Method with Subset Simulation for Reliability Estimation.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
A Variable Neighborhood Search Algorithm for Heat Pipe-Constrained Component Layout Optimization.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
An Adaptive Discrete Whale Swarm Algorithm for the Distributed Job-Shop Scheduling Problem with Limited AGVs.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
18, Springer, ISBN: 978-981-99-6986-9, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
An Effective Iterated Greedy Algorithm for a Robust Distributed Permutation Flowshop Problem With Carryover Sequence-Dependent Setup Time.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Logit Inducing With Abnormality Capturing for Semi-Supervised Image Anomaly Detection.
IEEE Trans. Instrum. Meas., 2022
An Early Fault Detection Method of Rotating Machines Based on Unsupervised Sequence Segmentation Convolutional Neural Network.
IEEE Trans. Instrum. Meas., 2022
A Hierarchical Training-Convolutional Neural Network for Imbalanced Fault Diagnosis in Complex Equipment.
IEEE Trans. Ind. Informatics, 2022
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pretrained Feature.
IEEE Trans. Ind. Electron., 2022
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front.
IEEE Trans. Cybern., 2022
A Discrete Artificial Bee Colony Algorithm for Multiobjective Disassembly Line Balancing of End-of-Life Products.
IEEE Trans. Cybern., 2022
Modeling and Balancing for Disassembly Lines Considering Workers With Different Efficiencies.
IEEE Trans. Cybern., 2022
An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems.
IEEE Trans. Cybern., 2022
Toward Safe Human-Robot Interaction: A Fast- Response Admittance Control Method for Series Elastic Actuator.
IEEE Trans Autom. Sci. Eng., 2022
Energy-Efficient Robotic Parallel Disassembly Sequence Planning for End-of-Life Products.
IEEE Trans Autom. Sci. Eng., 2022
IEEE Trans Autom. Sci. Eng., 2022
On the Indispensability of Isogeometric Analysis in Topology Optimization for Smooth or Binary Designs.
Symmetry, 2022
A Matheuristic Approach for the No-Wait Flowshop Scheduling Problem with Makespan Criterion.
Symmetry, 2022
A new genetic algorithm based evolutionary neural architecture search for image classification.
Swarm Evol. Comput., 2022
An effective two-stage iterated greedy algorithm to minimize total tardiness for the distributed flowshop group scheduling problem.
Swarm Evol. Comput., 2022
A surrogate-assisted hybrid swarm optimization algorithm for high-dimensional computationally expensive problems.
Swarm Evol. Comput., 2022
A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem.
Swarm Evol. Comput., 2022
A Knowledge-Based Multiobjective Memetic Algorithm for Green Job Shop Scheduling With Variable Machining Speeds.
IEEE Syst. J., 2022
Semi-Supervised Defect Detection Method with Data-Expanding Strategy for PCB Quality Inspection.
Sensors, 2022
Sensors, 2022
Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification.
Sensors, 2022
A novel dual-stream self-attention neural network for remaining useful life estimation of mechanical systems.
Reliab. Eng. Syst. Saf., 2022
A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers.
Robotics Comput. Integr. Manuf., 2022
A multiobjective memetic algorithm for integrated process planning and scheduling problem in distributed heterogeneous manufacturing systems.
Memetic Comput., 2022
A hash map-based memetic algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance to minimize total flowtime.
Knowl. Based Syst., 2022
Knowl. Based Syst., 2022
J. Ambient Intell. Humaniz. Comput., 2022
Inf. Sci., 2022
Multiple surrogates and offspring-assisted differential evolution for high-dimensional expensive problems.
Inf. Sci., 2022
An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling.
Future Gener. Comput. Syst., 2022
Multidisciplinary robust design optimization considering parameter and metamodeling uncertainties.
Eng. Comput., 2022
A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect Detection.
CoRR, 2022
A novel vision-based multi-task robotic grasp detection method for multi-object scenes.
Sci. China Inf. Sci., 2022
A hybrid algorithm with a new neighborhood structure for job shop scheduling problems.
Comput. Ind. Eng., 2022
An efficient self-adaptive artificial bee colony algorithm for the distributed resource-constrained hybrid flowshop problem.
Comput. Ind. Eng., 2022
An evolution strategy approach for the distributed blocking flowshop scheduling problem.
Comput. Ind. Eng., 2022
Lightweight convolutional neural network with knowledge distillation for cervical cells classification.
Biomed. Signal Process. Control., 2022
An effective multi-objective whale swarm algorithm for energy-efficient scheduling of distributed welding flow shop.
Ann. Oper. Res., 2022
Appl. Math. Comput., 2022
Adv. Eng. Informatics, 2022
A Cross-coupling Fuzzy Auto Disturbance Rejection Strategy-Based Compliance Controller for Leg of Hydraulic Bipedal Robot.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022
A Hyper-Heuristic Algorithm for the No-Wait Flowshop Scheduling Problem with Makespan Criterion.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
Anchor-based Detection and Height Estimation Framework for Particle Defects on Cathodic Copper Plate Surface.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
An Iterative Two-Phase Optimization Method Based on Divide and Conquer Framework for Integrated Scheduling of Multiple UAVs.
IEEE Trans. Intell. Transp. Syst., 2021
Convolutional Neural Network With Automatic Learning Rate Scheduler for Fault Classification.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China.
IEEE Trans. Ind. Informatics, 2021
A Generative Adversarial Network Based Deep Learning Method for Low-Quality Defect Image Reconstruction and Recognition.
IEEE Trans. Ind. Informatics, 2021
A New Reinforcement Learning Based Learning Rate Scheduler for Convolutional Neural Network in Fault Classification.
IEEE Trans. Ind. Electron., 2021
Ensemble of Dynamic Resource Allocation Strategies for Decomposition-Based Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2021
A Modified Genetic Algorithm With New Encoding and Decoding Methods for Integrated Process Planning and Scheduling Problem.
IEEE Trans. Cybern., 2021
A Surrogate-Assisted Multiswarm Optimization Algorithm for High-Dimensional Computationally Expensive Problems.
IEEE Trans. Cybern., 2021
A New Approach to Solve Uncertain Multidisciplinary Design Optimization Based on Conditional Value at Risk.
IEEE Trans Autom. Sci. Eng., 2021
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D.
Swarm Evol. Comput., 2021
Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm.
Swarm Evol. Comput., 2021
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems.
Swarm Evol. Comput., 2021
Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions.
Swarm Evol. Comput., 2021
A Kriging-assisted sampling method for reliability analysis of structures with hybrid uncertainties.
Reliab. Eng. Syst. Saf., 2021
A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis.
Reliab. Eng. Syst. Saf., 2021
Global and local Kriging limit state approximation for time-dependent reliability-based design optimization through wrong-classification probability.
Reliab. Eng. Syst. Saf., 2021
A discrete whale swarm algorithm for hybrid flow-shop scheduling problem with limited buffers.
Robotics Comput. Integr. Manuf., 2021
Robotics Comput. Integr. Manuf., 2021
Production scheduling for blocking flowshop in distributed environment using effective heuristics and iterated greedy algorithm.
Robotics Comput. Integr. Manuf., 2021
A comparative study of pre-screening strategies within a surrogate-assisted multi-objective algorithm framework for computationally expensive problems.
Neural Comput. Appl., 2021
ε Constrained differential evolution using halfspace partition for optimization problems.
J. Intell. Manuf., 2021
J. Intell. Manuf., 2021
A Deep Lifelong Learning Method for Digital-Twin Driven Defect Recognition With Novel Classes.
J. Comput. Inf. Sci. Eng., 2021
Topology optimization of irregular flow domain by parametric level set method in unstructured mesh.
J. Comput. Des. Eng., 2021
Hyperplane-driven and projection-assisted search for solving many-objective optimization problems.
Inf. Sci., 2021
A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times.
Int. J. Prod. Res., 2021
An effective design method for mechanical metamaterials with negative Poisson's ratios.
Int. J. Manuf. Res., 2021
Machine learning algorithms benchmarking for real-time fault predictable scheduling on a shop floor.
Int. J. Manuf. Res., 2021
Eng. Comput., 2021
An effective multi-start iterated greedy algorithm to minimize makespan for the distributed permutation flowshop scheduling problem with preventive maintenance.
Expert Syst. Appl., 2021
Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times.
Eng. Appl. Artif. Intell., 2021
A population-based iterated greedy algorithm to minimize total flowtime for the distributed blocking flowshop scheduling problem.
Eng. Appl. Artif. Intell., 2021
Time Series Classification by Shapelet Dictionary Learning with SVM-Based Ensemble Classifier.
Comput. Intell. Neurosci., 2021
An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem.
Comput. Ind. Eng., 2021
An indicator and adaptive region division based evolutionary algorithm for many-objective optimization.
Appl. Soft Comput., 2021
A genetic simulated annealing algorithm for parallel partial disassembly line balancing problem.
Appl. Soft Comput., 2021
A discrete artificial bee colony algorithm for the distributed heterogeneous no-wait flowshop scheduling problem.
Appl. Soft Comput., 2021
Local search-based metaheuristics for the robust distributed permutation flowshop problem.
Appl. Soft Comput., 2021
An effective iterated greedy algorithm for PCBs grouping problem to minimize setup times.
Appl. Soft Comput., 2021
A two-layer surrogate-assisted differential evolution with better and nearest option for optimizing the spring of hydraulic series elastic actuator.
Appl. Soft Comput., 2021
A new Feature-Fusion method based on training dataset prototype for surface defect recognition.
Adv. Eng. Informatics, 2021
A Genetic Algorithm-Based Ensemble Convolutional Neural Networks for Defect Recognition with Small-Scale Samples.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Partial Distillation of Deep Feature for Unsupervised Image Anomaly Detection and Segmentation.
Proceedings of the Intelligent Computing Theories and Application, 2021
A Discrete Grey Wolf Optimizer for Solving Flexible Job Shop Scheduling Problem with Lot-streaming.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021
2020
A Three-Stage Multiobjective Approach Based on Decomposition for an Energy-Efficient Hybrid Flow Shop Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2020
A Time Wave Neural Network Framework for Solving Time-Dependent Project Scheduling Problems.
IEEE Trans. Neural Networks Learn. Syst., 2020
A New Two-Level Hierarchical Diagnosis Network Based on Convolutional Neural Network.
IEEE Trans. Instrum. Meas., 2020
A Multilevel Information Fusion-Based Deep Learning Method for Vision-Based Defect Recognition.
IEEE Trans. Instrum. Meas., 2020
Efficient Generalized Surrogate-Assisted Evolutionary Algorithm for High-Dimensional Expensive Problems.
IEEE Trans. Evol. Comput., 2020
Reusing the Past Difference Vectors in Differential Evolution - A Simple But Significant Improvement.
IEEE Trans. Cybern., 2020
Wafer Residency Time Analysis for Time-Constrained Single-Robot-Arm Cluster Tools With Activity Time Variation.
IEEE Trans. Control. Syst. Technol., 2020
Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm.
Swarm Evol. Comput., 2020
Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption.
Swarm Evol. Comput., 2020
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times.
Swarm Evol. Comput., 2020
Multi-objective based scheduling algorithm for sudden drinking water contamination incident.
Swarm Evol. Comput., 2020
Framework of model selection criteria approximated genetic programming for optimization function for renewable energy systems.
Swarm Evol. Comput., 2020
A Novel Point Cloud Encoding Method Based on Local Information for 3D Classification and Segmentation.
Sensors, 2020
A composite-projection-outline-based approximation method for system reliability analysis with hybrid uncertainties.
Reliab. Eng. Syst. Saf., 2020
A system active learning Kriging method for system reliability-based design optimization with a multiple response model.
Reliab. Eng. Syst. Saf., 2020
EEK-SYS: System reliability analysis through estimation error-guided adaptive Kriging approximation of multiple limit state surfaces.
Reliab. Eng. Syst. Saf., 2020
Robotics Comput. Integr. Manuf., 2020
A semi-supervised convolutional neural network-based method for steel surface defect recognition.
Robotics Comput. Integr. Manuf., 2020
Whale swarm algorithm with the mechanism of identifying and escaping from extreme points for multimodal function optimization.
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
A multi-objective algorithm for U-shaped disassembly line balancing with partial destructive mode.
Neural Comput. Appl., 2020
Chaotic-based grey wolf optimizer for numerical and engineering optimization problems.
Memetic Comput., 2020
Ensemble deep contractive auto-encoders for intelligent fault diagnosis of machines under noisy environment.
Knowl. Based Syst., 2020
J. Intell. Manuf., 2020
Evolutionary many-objective assembly of cloud services via angle and adversarial direction driven search.
Inf. Sci., 2020
Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems.
Inf. Sci., 2020
Clonal selection based intelligent parameter inversion algorithm for prestack seismic data.
Inf. Sci., 2020
Multi-objective optimisation framework of genetic programming for investigation of bullwhip effect and net stock amplification for three-stage supply chain systems.
Int. J. Bio Inspired Comput., 2020
Iterative reliable design space approach for efficient reliability-based design optimization.
Eng. Comput., 2020
An effective discrete artificial bee colony algorithm for multi-AGVs dispatching problem in a matrix manufacturing workshop.
Expert Syst. Appl., 2020
Sci. China Inf. Sci., 2020
An energy-efficient bi-objective no-wait permutation flowshop scheduling problem to minimize total tardiness and total energy consumption.
Comput. Ind. Eng., 2020
An improved artificial bee colony algorithm for distributed heterogeneous hybrid flowshop scheduling problem with sequence-dependent setup times.
Comput. Ind. Eng., 2020
An adaptive dual-population evolutionary paradigm with adversarial search: Case study on many-objective service consolidation.
Appl. Soft Comput., 2020
A fast surrogate-assisted particle swarm optimization algorithm for computationally expensive problems.
Appl. Soft Comput., 2020
An effective Iterated Greedy algorithm for the distributed permutation flowshop scheduling with due windows.
Appl. Soft Comput., 2020
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020
A Surrogate-Assisted Offspring Generation Method for Expensive Multi-objective optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Adaptive Delay Compensation for Admittance Control of Hydraulic Series Elastic Actuator.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
1, Springer, ISBN: 978-981-13-9381-5, 2020
2, Springer, ISBN: 978-3-662-55303-9, 2020
2019
IEEE Trans. Syst. Man Cybern. Syst., 2019
An Effective Hybrid Genetic Algorithm and Variable Neighborhood Search for Integrated Process Planning and Scheduling in a Packaging Machine Workshop.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Evolutionary algorithms for many-objective cloud service composition: Performance assessments and comparisons.
Swarm Evol. Comput., 2019
A multi-start variable neighbourhood descent algorithm for hybrid flowshop rescheduling.
Swarm Evol. Comput., 2019
Surrogate-guided differential evolution algorithm for high dimensional expensive problems.
Swarm Evol. Comput., 2019
A multi-objective migrating birds optimization algorithm for the hybrid flowshop rescheduling problem.
Soft Comput., 2019
Corrections to "A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid".
IEEE Syst. J., 2019
A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid.
IEEE Syst. J., 2019
Sensor-Assisted Weighted Average Ensemble Model for Detecting Major Depressive Disorder.
Sensors, 2019
An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation.
Reliab. Eng. Syst. Saf., 2019
A general failure-pursuing sampling framework for surrogate-based reliability analysis.
Reliab. Eng. Syst. Saf., 2019
Kinematic calibration method for a two-segment hydraulic leg based on an improved whale swarm algorithm.
Robotics Comput. Integr. Manuf., 2019
Partial disassembly line balancing for energy consumption and profit under uncertainty.
Robotics Comput. Integr. Manuf., 2019
Hybrid optimization algorithms by various structures for a real-world inverse scheduling problem with uncertain due-dates under single-machine shop systems.
Neural Comput. Appl., 2019
Thematic issue on "advanced intelligent scheduling algorithms for smart manufacturing systems".
Memetic Comput., 2019
An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization.
Knowl. Based Syst., 2019
An efficient surrogate-assisted particle swarm optimization algorithm for high-dimensional expensive problems.
Knowl. Based Syst., 2019
Parallel chaotic local search enhanced harmony search algorithm for engineering design optimization.
J. Intell. Manuf., 2019
Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems.
J. Glob. Optim., 2019
Tasks assigning and sequencing of multiple AGVs based on an improved harmony search algorithm.
J. Ambient Intell. Humaniz. Comput., 2019
Inf. Sci., 2019
A decomposition based evolutionary algorithm with direction vector adaption and selection enhancement.
Inf. Sci., 2019
A decomposition and statistical learning based many-objective artificial bee colony optimizer.
Inf. Sci., 2019
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem.
Expert Syst. Appl., 2019
A multiobjective evolutionary algorithm based on decomposition for hybrid flowshop green scheduling problem.
Comput. Ind. Eng., 2019
A multi-objective discrete flower pollination algorithm for stochastic two-sided partial disassembly line balancing problem.
Comput. Ind. Eng., 2019
Particle swarm optimization hybridized with genetic algorithm for uncertain integrated process planning and scheduling with interval processing time.
Comput. Ind. Eng., 2019
Probability and interval hybrid reliability analysis based on adaptive local approximation of projection outlines using support vector machine.
Comput. Aided Civ. Infrastructure Eng., 2019
Appl. Soft Comput., 2019
Improved non-maximum suppression for object detection using harmony search algorithm.
Appl. Soft Comput., 2019
Effective constructive heuristics and meta-heuristics for the distributed assembly permutation flowshop scheduling problem.
Appl. Soft Comput., 2019
A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution.
Appl. Soft Comput., 2019
Ensemble of surrogates assisted particle swarm optimization of medium scale expensive problems.
Appl. Soft Comput., 2019
Sequential approximation optimization assisted particle swarm optimization for expensive problems.
Appl. Soft Comput., 2019
A Variable Block Insertion Heuristic for Solving Permutation Flow Shop Scheduling Problem with Makespan Criterion.
Algorithms, 2019
Maximum variation analysis based analytical target cascading for multidisciplinary robust design optimization under interval uncertainty.
Adv. Eng. Informatics, 2019
IEEE Access, 2019
An Effective Encoding Method Based on Local Information for 3D Point Cloud Classification.
IEEE Access, 2019
Differential Evolution Through Variable Neighborhood Search for Constrained Real-Parameter Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A General Variable Neighborhood Search for the NoIdle Flowshop Scheduling Problem with Makespan Criterion.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Variable Block Insertion Heuristic for Single Machine with Release Dates and Sequence Dependent Setup Times for Makespan Minimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Hierarchical Feature Fusion-based Method for Defect Recognition with a Small Sample.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019
Proceedings of the Twelfth International Conference on Machine Vision, 2019
Position Control of Hydraulic Series Elastic Actuator with Parameter Self-Optimization.
Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019
MEAK-MCS: Metamodel Error Measure Function based Active Learning Kriging with Monte Carlo Simulation for Reliability Analysis.
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019
Isogeometric Density Field Method for Topology Optimization of Micro-architected Materials.
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019
A Novel Surrogate-assisted Differential Evolution for Expensive Optimization Problems with both Equality and Inequality Constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Surrogate's Optima Assisted Evolutionary Algorithm for Optimization of Expensive Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
An improved Q-learning based rescheduling method for flexible job-shops with machine failures.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
A New Spectral Clustering Based on Particle Swarm Optimization for Unsupervised Fault Diagnosis of Bearings.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
Iterated Local Search for Steelmaking-refining-Continuous Casting Scheduling Problem.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
Green Job Shop Scheduling Problem with Machine at Different Speeds using a multi-objective grey wolf optimization algorithm<sup>*</sup>.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
An Effective Multiobjective Algorithm for Energy-Efficient Scheduling in a Real-Life Welding Shop.
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Electron., 2018
A Novel Teaching-Learning-Based Optimization Algorithm for Energy-Efficient Scheduling in Hybrid Flow Shop.
IEEE Trans. Engineering Management, 2018
Adjust weight vectors in MOEA/D for bi-objective optimization problems with discontinuous Pareto fronts.
Soft Comput., 2018
Engineering design optimization using an improved local search based epsilon differential evolution algorithm.
J. Intell. Manuf., 2018
An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems.
J. Intell. Manuf., 2018
A modified electromagnetism-like mechanism algorithm with pattern search for global optimisation.
Int. J. Comput. Sci. Eng., 2018
A new subset based deep feature learning method for intelligent fault diagnosis of bearing.
Expert Syst. Appl., 2018
CoRR, 2018
Topology optimization of micro-structured materials featured with the specific mechanical properties.
CoRR, 2018
CoRR, 2018
A hybrid variable neighborhood search algorithm for the hot rolling batch scheduling problem in compact strip production.
Comput. Ind. Eng., 2018
An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process.
Comput. Ind. Eng., 2018
Optimized tool path planning for five-axis flank milling of ruled surfaces using geometric decomposition strategy and multi-population harmony search algorithm.
Appl. Soft Comput., 2018
Free-form surface parts quality inspection optimization with a novel sampling method.
Appl. Soft Comput., 2018
Appl. Intell., 2018
An improved parametric level set method for structural frequency response optimization problems.
Adv. Eng. Softw., 2018
Topological shape optimization of 3D micro-structured materials using energy-based homogenization method.
Adv. Eng. Softw., 2018
Using Iterated Greedy with a New Population Approach for the Flexible Jobshop Scheduling Problem.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018
Robust Analytical Target Cascading Method for Multidisciplinary Design Optimization under Uncertainty.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
2017
Adaptive Differential Evolution With Sorting Crossover Rate for Continuous Optimization Problems.
IEEE Trans. Cybern., 2017
Differential evolution algorithm-based range image registration for free-form surface parts quality inspection.
Swarm Evol. Comput., 2017
A novel mathematical model and multi-objective method for the low-carbon flexible job shop scheduling problem.
Sustain. Comput. Informatics Syst., 2017
IHSCR: Energy-efficient clustering and routing for wireless sensor networks based on harmony search algorithm.
Int. J. Distributed Sens. Networks, 2017
A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry.
Eng. Appl. Artif. Intell., 2017
Multi-objective inverse scheduling optimization of single-machine shop system with uncertain due-dates and processing times.
Clust. Comput., 2017
A hybrid heuristic algorithm for flowshop inverse scheduling problem under a dynamic environment.
Clust. Comput., 2017
An effective multi-objective discrete virus optimization algorithm for flexible job-shop scheduling problem with controllable processing times.
Comput. Ind. Eng., 2017
An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming.
Appl. Soft Comput., 2017
Effective metaheuristics for scheduling a hybrid flowshop with sequence-dependent setup times.
Appl. Math. Comput., 2017
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the Data Mining and Big Data - Second International Conference, 2017
An improved genetic algorithm with rolling window technology for dynamic integrated process planning and scheduling problem.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017
Cooperative path planning of multiple UAVs based on PH curves and harmony search algorithm.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017
Improved parametric level set based structural topology optimization for minimizing a global frequency response.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017
2016
An ensemble fruit fly optimization algorithm for solving range image registration to improve quality inspection of free-form surface parts.
Inf. Sci., 2016
A shuffled multi-swarm micro-migrating birds optimizer for a multi-resource-constrained flexible job shop scheduling problem.
Inf. Sci., 2016
Expert Syst. Appl., 2016
ε constrained differential evolution with pre-estimated comparison using gradient-based approximation for constrained optimization problems.
Expert Syst. Appl., 2016
Multi-stage design space reduction and metamodeling optimization method based on self-organizing maps and fuzzy clustering.
Expert Syst. Appl., 2016
Service-oriented disassembly sequence planning for electrical and electronic equipment waste.
Electron. Commer. Res. Appl., 2016
Chaotic Teaching-Learning-Based Optimization with Lévy Flight for Global Numerical Optimization.
Comput. Intell. Neurosci., 2016
A hybrid genetic algorithm with variable neighborhood search for dynamic integrated process planning and scheduling.
Comput. Ind. Eng., 2016
Appl. Intell., 2016
An efficient modified harmony search algorithm with intersect mutation operator and cellular local search for continuous function optimization problems.
Appl. Intell., 2016
An effective multi-objective discrete grey wolf optimizer for a real-world scheduling problem in welding production.
Adv. Eng. Softw., 2016
Differential evolution algorithm-based range image registration with scaling parameters.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016
Differential evolution algorithm with variable neighborhood search for hybrid flow shop scheduling problem.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016
Normal histogram-based fruit fly optimization algorithm for range image registration.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016
An effective structural boundary processing method based on support vector machine for discrete topology optimization.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016
A new constraint handling method for differential evolution solving non-convex economic dispatch problems with valve loading effect.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
A molecular simulation based computational intelligence study of a nano-machining process with implications on its environmental performance.
Swarm Evol. Comput., 2015
Backtracking Search Algorithm with three constraint handling methods for constrained optimization problems.
Expert Syst. Appl., 2015
A new methodology for multi-objective multidisciplinary design optimization problems based on game theory.
Expert Syst. Appl., 2015
Multi-objective optimization based reverse strategy with differential evolution algorithm for constrained optimization problems.
Expert Syst. Appl., 2015
Comput. Ind. Eng., 2015
Electromagnetism-like algorithms for optimized tool path planning in 5-axis flank machining.
Comput. Ind. Eng., 2015
A hybrid algorithm based on a new neighborhood structure evaluation method for job shop scheduling problem.
Comput. Ind. Eng., 2015
An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes.
Appl. Soft Comput., 2015
A new differential evolution algorithm with a hybrid mutation operator and self-adapting control parameters for global optimization problems.
Appl. Intell., 2015
Probabilistic analytical target cascading combined with Kriging metamodel for multidisciplinary robust design optimization.
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015
Proceedings of the 12th IEEE International Conference on e-Business Engineering, 2015
Optimal design of photovoltaic-wind hybrid renewable energy system using a discrete geometric selective harmony search.
Proceedings of the 19th IEEE International Conference on Computer Supported Cooperative Work in Design, 2015
Proceedings of the 19th IEEE International Conference on Computer Supported Cooperative Work in Design, 2015
2014
Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet.
Simul. Model. Pract. Theory, 2014
An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material.
Simul. Model. Pract. Theory, 2014
An improved fruit fly optimization algorithm for continuous function optimization problems.
Knowl. Based Syst., 2014
An Effective Genetic Algorithm for Multi-objective Integrated Process Planning and Scheduling with Various Flexibilities in Process Planning.
J. Univers. Comput. Sci., 2014
J. Intell. Manuf., 2014
A prior-knowledge input LSSVR metamodeling method with tuning based on cellular particle swarm optimization for engineering design.
Expert Syst. Appl., 2014
An Iterated Local Search Algorithm for the Lot-Streaming Flow Shop Scheduling Problem.
Asia Pac. J. Oper. Res., 2014
Disassembly sequence planning using a Simplified Teaching-Learning-Based Optimization algorithm.
Adv. Eng. Informatics, 2014
Optimized tool path planning in 5-axis flank machining using electromagnetism-like algorithms.
Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014
A priority based optimization algorithm for multi-objective integrated process planning and scheduling problem.
Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014
A level set method for structural shape and topology optimization using Radial Basis Function.
Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 2014
2013
A new approach for predicting and collaborative evaluating the cutting force in face milling based on gene expression programming.
J. Netw. Comput. Appl., 2013
A distributed collaborative product design environment based on semantic norm model and role-based access control.
J. Netw. Comput. Appl., 2013
A GEP-based reactive scheduling policies constructing approach for dynamic flexible job shop scheduling problem with job release dates.
J. Intell. Manuf., 2013
Int. J. Comput. Appl. Technol., 2013
Expert Syst. Appl., 2013
A hybrid and adaptive tool-path generation approach of rapid prototyping and manufacturing for biomedical models.
Comput. Ind., 2013
Comput. Ind. Eng., 2013
Appl. Soft Comput., 2013
A Novel Two-Layer Hierarchical Differential Evolution Algorithm for Global Optimization.
Proceedings of the IEEE International Conference on Systems, 2013
Application of Interval Theory and Genetic Algorithm for Uncertain Integrated Process Planning and Scheduling.
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
A Simplified Teaching-Learning-Based Optimization Algorithm for Disassembly Sequence Planning.
Proceedings of the IEEE 10th International Conference on e-Business Engineering, 2013
Proceedings of the IEEE 10th International Conference on e-Business Engineering, 2013
A Quadratic Exterior Penalty Function Based Probabilistic Analytical Target Cascading Method.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013
Parameters optimization of a multi-pass milling process based on imperialist competitive algorithm.
Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013
A simplified electromagnetism-like mechanism algorithm for tool path planning in 5-axis flank milling.
Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013
Improved genetic algorithm with external archive maintenance for multi-objective integrated process planning and scheduling.
Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013
2012
Int. J. Comput. Integr. Manuf., 2012
Int. J. Comput. Appl. Technol., 2012
Expert Syst. Appl., 2012
Application of game theory based hybrid algorithm for multi-objective integrated process planning and scheduling.
Expert Syst. Appl., 2012
An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process.
Appl. Soft Comput., 2012
Dynamic scheduling model in FMS by considering energy consumption and schedule efficiency.
Proceedings of the IEEE 16th International Conference on Computer Supported Cooperative Work in Design, 2012
Proceedings of the IEEE 16th International Conference on Computer Supported Cooperative Work in Design, 2012
Application of Free Pattern Search on the surface roughness prediction in end milling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Modeling the performance of electrochemical machining process using free pattern search.
Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2012
2011
An effective hybrid discrete differential evolution algorithm for the flow shop scheduling with intermediate buffers.
Inf. Sci., 2011
Expert Syst. Appl., 2011
A hybrid particle swarm optimization with estimation of distribution algorithm for solving permutation flowshop scheduling problem.
Expert Syst. Appl., 2011
A differential evolution algorithm with self-adapting strategy and control parameters.
Comput. Oper. Res., 2011
Comput. Ind. Eng., 2011
A chaotic harmony search algorithm for the flow shop scheduling problem with limited buffers.
Appl. Soft Comput., 2011
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011
A collaborative evolutionary algorithm for multi-objective flexible job shop scheduling problem.
Proceedings of the IEEE International Conference on Systems, 2011
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011
An effective multi-swarm collaborative evolutionary algorithm for flexible job shop scheduling problem.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011
Tool-paths optimization of rapid prototyping to support product verification and collaboration.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011
Proceedings of the Multi-objective Evolutionary Optimisation for Product Design and Manufacturing., 2011
2010
Math. Comput. Model., 2010
Expert Syst. Appl., 2010
An expert system using rough sets theory and self-organizing maps to design space exploration of complex products.
Expert Syst. Appl., 2010
Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling.
Comput. Oper. Res., 2010
Adv. Eng. Informatics, 2010
A genetic algorithm for multi-objective collaborative process planning and scheduling problem.
Proceedings of the IEEE International Conference on Systems, 2010
Proceedings of the IEEE International Conference on Systems, 2010
Research on flexible job-shop scheduling problem under uncertainty based on genetic algorithm.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
Training neural networks by electromagnetism-like mechanism algorithm for tourism arrivals forecasting.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
2009
J. Univers. Comput. Sci., 2009
An expert system using rough sets theory for aided conceptual design of ship's engine room automation.
Expert Syst. Appl., 2009
Integration of process planning and scheduling - A modified genetic algorithm-based approach.
Comput. Oper. Res., 2009
A Web services and process-view combined approach for process management of collaborative product development.
Comput. Ind., 2009
Concurr. Eng. Res. Appl., 2009
An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem.
Comput. Ind. Eng., 2009
An Effective Hybrid Genetic Simulated Annealing Algorithm for Process Planning Problem.
Proceedings of the Fifth International Conference on Natural Computation, 2009
Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009
Collaborative execution mechanisms for the TCPN-enhanced process-view approach based inter-enterprises workflow.
Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009
2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Variable Neighborhood Genetic Algorithm for the Flexible Job Shop Scheduling Problems.
Proceedings of the Intelligent Robotics and Applications, First International Conference, 2008
Proceedings of the Intelligent Robotics and Applications, First International Conference, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
Proceedings of the 12th International Conference on CSCW in Design, 2008
2007
Proceedings of the Advances in Neural Networks, 2007
A Multi-agent System for Cross-Organizational Workflows Management Based on Process-View.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
2006
Particle Swarm Optimization for Simultaneous Optimization of Design and Machining Tolerances.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006
Proceedings of the Advances in Natural Computation, Second International Conference, 2006
Combining Particle Swarm Optimization and Neural Network for Diagnosis of Unexplained Syncope.
Proceedings of the Computational Intelligence and Bioinformatics, 2006
Fuzzy Multiple Attributive Group Decision-Making for Conflict Resolution in Collaborative Design.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006
Proceedings of the 10th International Conference on CSCW in Design, 2006