Xinyu Li
Orcid: 0000-0002-3730-0360Affiliations:
- Huazhong University of Science and Technology, School of Mechanical, Wuhan, China
According to our database1,
Xinyu Li
authored at least 216 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Dynamic Balancing of U-Shaped Robotic Disassembly Lines Using an Effective Deep Reinforcement Learning Approach.
IEEE Trans. Ind. Informatics, April, 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
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
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 multi-population co-evolutionary algorithm for green integrated process planning and scheduling considering logistics system.
Eng. Appl. Artif. Intell., November, 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
Two novel MILP models with different flexibilities for solving integrated process planning and scheduling problems.
J. Oper. Res. Soc., September, 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
Int. J. Prod. Res., April, 2023
Unsupervised Image Anomaly Detection and Segmentation Based on Pretrained Feature Mapping.
IEEE Trans. Ind. Informatics, 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 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
A New Contrastive GAN With Data Augmentation for Surface Defect Recognition Under Limited Data.
IEEE Trans. Instrum. Meas., 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
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
A Hybrid Co-Evolutionary Algorithm for the PBS Scheduling Problem in Automobile Industry.
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
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 New Cycle-consistent Adversarial Networks With Attention Mechanism for Surface Defect Classification With Small Samples.
IEEE Trans. Ind. Informatics, 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
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
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
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 multiobjective memetic algorithm for integrated process planning and scheduling problem in distributed heterogeneous manufacturing systems.
Memetic Comput., 2022
J. Ambient Intell. Humaniz. Comput., 2022
Multiple surrogates and offspring-assisted differential evolution for high-dimensional expensive problems.
Inf. Sci., 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
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
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
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
Convolutional Neural Network With Automatic Learning Rate Scheduler for Fault Classification.
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
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
Robotics Comput. Integr. 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
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
Time Series Classification by Shapelet Dictionary Learning with SVM-Based Ensemble Classifier.
Comput. Intell. Neurosci., 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
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 Hybrid Algorithm for Multi-objective Permutation Flow Shop Scheduling Problem with Setup Times.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 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 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
Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm.
Swarm Evol. Comput., 2020
Some new trends of intelligent simulation optimization and scheduling in intelligent manufacturing.
Serv. Oriented Comput. Appl., 2020
A Novel Point Cloud Encoding Method Based on Local Information for 3D Classification and Segmentation.
Sensors, 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
Sci. China Inf. Sci., 2020
An improved artificial bee colony algorithm for distributed heterogeneous hybrid flowshop scheduling problem with sequence-dependent setup times.
Comput. Ind. Eng., 2020
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 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
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
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
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
Mathematical modeling and a discrete artificial bee colony algorithm for the welding shop scheduling problem.
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
Parallel chaotic local search enhanced harmony search algorithm for engineering design optimization.
J. Intell. Manuf., 2019
Tasks assigning and sequencing of multiple AGVs based on an improved harmony search algorithm.
J. Ambient Intell. Humaniz. Comput., 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
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
IEEE Access, 2019
An Effective Encoding Method Based on Local Information for 3D Point Cloud Classification.
IEEE Access, 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
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019
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
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
2018
An Effective Multiobjective Algorithm for Energy-Efficient Scheduling in a Real-Life Welding Shop.
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Electron., 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 new subset based deep feature learning method for intelligent fault diagnosis of bearing.
Expert Syst. Appl., 2018
CoRR, 2018
CoRR, 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
Appl. Intell., 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
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
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
An effective multi-objective discrete virus optimization algorithm for flexible job-shop scheduling problem with controllable processing times.
Comput. Ind. Eng., 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
2016
Int. J. Comput. Appl. Technol., 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
Service-oriented disassembly sequence planning for electrical and electronic equipment waste.
Electron. Commer. Res. Appl., 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
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
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
Backtracking Search Algorithm with three constraint handling methods for constrained optimization problems.
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
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
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
An Iterated Local Search Algorithm for the Lot-Streaming Flow Shop Scheduling Problem.
Asia Pac. J. Oper. Res., 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
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 GEP-based reactive scheduling policies constructing approach for dynamic flexible job shop scheduling problem with job release dates.
J. Intell. Manuf., 2013
An Efficient Memetic Algorithm for Dynamic Flexible Job Shop Scheduling with Random Job Arrivals.
Int. J. Softw. Sci. Comput. Intell., 2013
Int. J. Comput. Appl. Technol., 2013
Expert Syst. Appl., 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
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. 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
Modeling of cutting forces in a face-milling operation with Gene Expression Programming.
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
Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2012
2011
Comput. Ind. Eng., 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
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
Proceedings of the Multi-objective Evolutionary Optimisation for Product Design and Manufacturing., 2011
2010
Expert Syst. Appl., 2010
Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling.
Comput. Oper. Res., 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
Integration of process planning and scheduling - A modified genetic algorithm-based approach.
Comput. Oper. Res., 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
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