Ling Wang
Orcid: 0000-0001-8964-6454Affiliations:
- Tsinghua University, Department of Automation, TNList, Beijing, China (PhD 1999)
According to our database1,
Ling Wang
authored at least 312 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Internet Things J., April, 2024
Distributed Heterogeneous Co-Evolutionary Algorithm for Scheduling a Multistage Fine-Manufacturing System With Setup Constraints.
IEEE Trans. Cybern., March, 2024
A Knowledge-Guided End-to-End Optimization Framework Based on Reinforcement Learning for Flow Shop Scheduling.
IEEE Trans. Ind. Informatics, February, 2024
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
IEEE Trans. Evol. Comput., February, 2024
A Reinforcement-Learning-Based 3-D Estimation of Distribution Algorithm for Fuzzy Distributed Hybrid Flow-Shop Scheduling Considering On-Time-Delivery.
IEEE Trans. Cybern., February, 2024
An evolutionary algorithm based on fully connected weight networks for mixed-variable multi-objective optimization.
Inf. Sci., February, 2024
Direct Position Determination With a Moving Extended Nested Array by Spatial Sparsity.
IEEE Internet Things J., February, 2024
Prototype-Based Decentralized Federated Learning for the Heterogeneous Time-Varying IoT Systems.
IEEE Internet Things J., February, 2024
Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
IEEE CAA J. Autom. Sinica, January, 2024
IEEE Trans. Syst. Man Cybern. Syst., 2024
Multiobjective Variable Neighborhood Descent for Heterogeneous Multi-UAV Coordinated Scheduling.
IEEE Trans. Aerosp. Electron. Syst., 2024
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection.
CoRR, 2024
2023
A Constraint-Handling Technique for Decomposition-Based Constrained Many-Objective Evolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023
A Predictive-Reactive Optimization Framework With Feedback-Based Knowledge Distillation for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst., December, 2023
A Learning-Based Multipopulation Evolutionary Optimization for Flexible Job Shop Scheduling Problem With Finite Transportation Resources.
IEEE Trans. Evol. Comput., December, 2023
Surprisingly Popular-Based Adaptive Memetic Algorithm for Energy-Efficient Distributed Flexible Job Shop Scheduling.
IEEE Trans. Cybern., December, 2023
A <i>Q</i>-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation.
Expert Syst. Appl., December, 2023
A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification.
Inf. Sci., November, 2023
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., October, 2023
A Competitive and Cooperative Swarm Optimizer for Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., October, 2023
A Reinforcement Learning Driven Artificial Bee Colony Algorithm for Distributed Heterogeneous No-Wait Flowshop Scheduling Problem With Sequence-Dependent Setup Times.
IEEE Trans Autom. Sci. Eng., October, 2023
Transient Analysis and Scheduling of Bernoulli Serial Lines With Multi-Type Products and Finite Buffers.
IEEE Trans Autom. Sci. Eng., October, 2023
An Estimation of Distribution Algorithm-Based Hyper-Heuristic for the Distributed Assembly Mixed No-Idle Permutation Flowshop Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023
Multi-Objective Optimization Algorithm With Adaptive Resource Allocation for Truck-Drone Collaborative Delivery and Pick-Up Services.
IEEE Trans. Intell. Transp. Syst., September, 2023
Fair and Efficient Electric Vehicle Charging Scheduling Optimization Considering the Maximum Individual Waiting Time and Operating Cost.
IEEE Trans. Veh. Technol., August, 2023
A Pareto-Based Discrete Jaya Algorithm for Multiobjective Carbon-Efficient Distributed Blocking Flow Shop Scheduling Problem.
IEEE Trans. Ind. Informatics, August, 2023
Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
A Reinforcement Learning Driven Cooperative Meta-Heuristic Algorithm for Energy-Efficient Distributed No-Wait Flow-Shop Scheduling With Sequence-Dependent Setup Time.
IEEE Trans. Ind. Informatics, July, 2023
ACM Trans. Model. Perform. Evaluation Comput. Syst., June, 2023
Utilizing the Relationship Between Unconstrained and Constrained Pareto Fronts for Constrained Multiobjective Optimization.
IEEE Trans. Cybern., June, 2023
Neighborhood evolutionary sampling with dynamic repulsion for expensive multimodal optimization.
Inf. Sci., June, 2023
A multi-agent reinforcement learning driven artificial bee colony algorithm with the central controller.
Expert Syst. Appl., June, 2023
An Online Deep Reinforcement Learning-Based Order Recommendation Framework for Rider-Centered Food Delivery System.
IEEE Trans. Intell. Transp. Syst., May, 2023
A Population-Based Iterated Greedy Algorithm for Distributed Assembly No-Wait Flow-Shop Scheduling Problem.
IEEE Trans. Ind. Informatics, May, 2023
A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem.
IEEE Trans. Cybern., May, 2023
A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem.
Int. J. Prod. Res., May, 2023
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
Two-Stage Data-Driven Evolutionary Optimization for High-Dimensional Expensive Problems.
IEEE Trans. Cybern., April, 2023
A Novel Scattered Storage Policy Considering Commodity Classification and Correlation in Robotic Mobile Fulfillment Systems.
IEEE Trans Autom. Sci. Eng., April, 2023
An inverse reinforcement learning framework with the Q-learning mechanism for the metaheuristic algorithm.
Knowl. Based Syst., April, 2023
A cooperative memetic algorithm for energy-aware distributed welding shop scheduling problem.
Eng. Appl. Artif. Intell., April, 2023
An exploratory landscape analysis driven artificial bee colony algorithm with maximum entropic epistasis.
Appl. Soft Comput., April, 2023
Improved ant colony optimization for the vehicle routing problem with split pickup and split delivery.
Swarm Evol. Comput., March, 2023
A brain storm optimization algorithm with feature information knowledge and learning mechanism.
Appl. Intell., March, 2023
An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time.
Appl. Intell., March, 2023
Evolutionary Optimization of COVID-19 Vaccine Distribution With Evolutionary Demands.
IEEE Trans. Evol. Comput., February, 2023
Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts.
IEEE Trans. Evol. Comput., February, 2023
Recommending-and-Grabbing: A Crowdsourcing-Based Order Allocation Pattern for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst., January, 2023
Solving Stochastic Online Food Delivery Problem via Iterated Greedy Algorithm With Decomposition-Based Strategy.
IEEE Trans. Syst. Man Cybern. Syst., 2023
A Cooperative Scatter Search With Reinforcement Learning Mechanism for the Distributed Permutation Flowshop Scheduling Problem With Sequence-Dependent Setup Times.
IEEE Trans. Syst. Man Cybern. Syst., 2023
A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time.
IEEE Trans. Evol. Comput., 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 coevolutionary algorithm with problem-specific knowledge for energy-efficient scheduling in <i>seru</i> system.
Knowl. Based Syst., 2023
Handling constrained many-objective optimization problems via determinantal point processes.
Inf. Sci., 2023
IEEE CAA J. Autom. Sinica, 2023
Bi-level optimization of charging scheduling of a battery swap station based on deep reinforcement learning.
Eng. Appl. Artif. Intell., 2023
2022
Dual-Space Co-Evolutionary Memetic Algorithm for Scheduling Hybrid Differentiation Flowshop With Limited Buffer Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Hybrid Niching-Based Differential Evolution With Two Archives for Nonlinear Equation System.
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Bi-Population Evolutionary Algorithm With Feedback for Energy-Efficient Fuzzy Flexible Job Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Two-Stage Evolutionary Algorithm With Balanced Convergence and Diversity for Many-Objective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 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
A Generic Markov Decision Process Model and Reinforcement Learning Method for Scheduling Agile Earth Observation Satellites.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows.
IEEE Trans. Intell. Transp. Syst., 2022
An Imitation Learning-Enhanced Iterated Matching Algorithm for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst., 2022
Elite Archive-Assisted Adaptive Memetic Algorithm for a Realistic Hybrid Differentiation Flowshop Scheduling Problem.
IEEE Trans. Evol. Comput., 2022
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
A Cooperative Memetic Algorithm With Learning-Based Agent for Energy-Aware Distributed Hybrid Flow-Shop Scheduling.
IEEE Trans. Evol. Comput., 2022
An Evolutionary Multiobjective Knee-Based Lower Upper Bound Estimation Method for Wind Speed Interval Forecast.
IEEE Trans. Evol. Comput., 2022
A Self-Learning Discrete Jaya Algorithm for Multiobjective Energy-Efficient Distributed No-Idle Flow-Shop Scheduling Problem in Heterogeneous Factory System.
IEEE Trans. Cybern., 2022
A Knowledge-Based Two-Population Optimization Algorithm for Distributed Energy-Efficient Parallel Machines Scheduling.
IEEE Trans. Cybern., 2022
An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems.
IEEE Trans. Cybern., 2022
Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
Swarm Evol. Comput., 2022
Swarm Evol. Comput., 2022
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems.
Swarm Evol. Comput., 2022
A data-driven parallel adaptive large neighborhood search algorithm for a large-scale inter-satellite link scheduling problem.
Swarm Evol. Comput., 2022
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time.
Swarm Evol. Comput., 2022
A hybrid cooperative differential evolution assisted by CMA-ES with local search mechanism.
Neural Comput. Appl., 2022
A novelty-search-based evolutionary reinforcement learning algorithm for continuous optimization problems.
Memetic Comput., 2022
Efficient multiobjective optimization for an AGV energy-efficient scheduling problem with release time.
Knowl. Based Syst., 2022
An effective water wave optimization algorithm with problem-specific knowledge for the distributed assembly blocking flow-shop scheduling problem.
Knowl. Based Syst., 2022
A reinforcement learning brain storm optimization algorithm (BSO) with learning mechanism.
Knowl. Based Syst., 2022
A multipopulation cooperative coevolutionary whale optimization algorithm with a two-stage orthogonal learning mechanism.
Knowl. Based Syst., 2022
Knowl. Based Syst., 2022
Constrained multi-objective evolutionary algorithm with an improved two-archive strategy.
Knowl. Based Syst., 2022
Resource-constrained self-organized optimization for near-real-time offloading satellite earth observation big data.
Knowl. Based Syst., 2022
Cooperative co-evolutionary algorithm for multi-objective optimization problems with changing decision variables.
Inf. Sci., 2022
Integrating Variable Reduction Strategy With Evolutionary Algorithms for Solving Nonlinear Equations Systems.
IEEE CAA J. Autom. Sinica, 2022
LSFQPSO: quantum particle swarm optimization with optimal guided Lévy flight and straight flight for solving optimization problems.
Eng. Comput., 2022
A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows.
Expert Syst. Appl., 2022
A two-stage cooperative scatter search algorithm with multi-population hierarchical learning mechanism.
Expert Syst. Appl., 2022
A matrix cube-based estimation of distribution algorithm for the energy-efficient distributed assembly permutation flow-shop scheduling problem.
Expert Syst. Appl., 2022
A two-stage evolutionary algorithm based on three indicators for constrained multi-objective optimization.
Expert Syst. Appl., 2022
A surrogate-assisted Jaya algorithm based on optimal directional guidance and historical learning mechanism.
Eng. Appl. Artif. Intell., 2022
A self-learning hyper-heuristic for the distributed assembly blocking flow shop scheduling problem with total flowtime criterion.
Eng. Appl. Artif. Intell., 2022
A heuristic and meta-heuristic based on problem-specific knowledge for distributed blocking flow-shop scheduling problem with sequence-dependent setup times.
Eng. Appl. Artif. Intell., 2022
Multi-node load forecasting based on multi-task learning with modal feature extraction.
Eng. Appl. Artif. Intell., 2022
Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer.
CoRR, 2022
Dynamic multi-objective balancing for online food delivery via fuzzy logic system-based supply-demand relationship identification.
Comput. Ind. Eng., 2022
A cooperative memetic algorithm with feedback for the energy-aware distributed flow-shops with flexible assembly scheduling.
Comput. Ind. Eng., 2022
Appl. Soft Comput., 2022
2021
A Two-Phase Coordinated Planning Approach for Heterogeneous Earth-Observation Resources to Monitor Area Targets.
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Bi-Population Cooperative Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
A Self-Adaptive Differential Evolution Algorithm for Scheduling a Single Batch-Processing Machine With Arbitrary Job Sizes and Release Times.
IEEE Trans. Cybern., 2021
A Two-Stage Cooperative Evolutionary Algorithm With Problem-Specific Knowledge for Energy-Efficient Scheduling of No-Wait Flow-Shop Problem.
IEEE Trans. Cybern., 2021
IEEE Trans. Cloud Comput., 2021
An Automated Cell Tracking Approach With Multi-Bernoulli Filtering and Ant Colony Labor Division.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Multiobjective Differential Evolution Algorithm for Solving Robotic Cell Scheduling Problem With Batch-Processing Machines.
IEEE Trans Autom. Sci. Eng., 2021
A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem.
Swarm Evol. Comput., 2021
PCA-assisted reproduction for continuous multi-objective optimization with complicated Pareto optimal set.
Swarm Evol. Comput., 2021
An effective memetic algorithm for UAV routing and orientation under uncertain navigation environments.
Memetic Comput., 2021
Memetic Comput., 2021
An effective multi-objective evolutionary algorithm for solving the AGV scheduling problem with pickup and delivery.
Knowl. Based Syst., 2021
A path relinking enhanced estimation of distribution algorithm for direct acyclic graph task scheduling problem.
Knowl. Based Syst., 2021
A simple two-stage evolutionary algorithm for constrained multi-objective optimization.
Knowl. Based Syst., 2021
Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization.
Inf. Sci., 2021
Enhanced pigeon inspired optimisation approach for Agile Earth observation satellite scheduling.
Int. J. Bio Inspired Comput., 2021
Data-Driven Heuristic Assisted Memetic Algorithm for Efficient Inter-Satellite Link Scheduling in the BeiDou Navigation Satellite System.
IEEE CAA J. Autom. Sinica, 2021
An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing.
Future Gener. Comput. Syst., 2021
A hierarchical guidance strategy assisted fruit fly optimization algorithm with cooperative learning mechanism.
Expert Syst. Appl., 2021
A hierarchical knowledge guided backtracking search algorithm with self-learning strategy.
Eng. Appl. Artif. Intell., 2021
Knowledge-based memetic algorithm for joint task planning of multi-platform earth observation system.
Comput. Ind. Eng., 2021
An XGBoost-enhanced fast constructive algorithm for food delivery route planning problem.
Comput. Ind. Eng., 2021
Decomposition based multiobjective evolutionary algorithm with adaptive resource allocation for energy-aware welding shop scheduling problem.
Comput. Ind. Eng., 2021
Optimisation of takeaway delivery routes considering the mutual satisfactions of merchants and customers.
Comput. Ind. Eng., 2021
An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem.
Appl. Soft Comput., 2021
A clustering-based differential evolution with different crowding factors for nonlinear equations system.
Appl. Soft Comput., 2021
An effective iterated greedy algorithm for PCBs grouping problem to minimize setup times.
Appl. Soft Comput., 2021
Multidimensional Estimation of Distribution Algorithm for Distributed No-Wait Flow-Shop Scheduling Problem with Sequence-Independent Setup Times and Release Dates.
Proceedings of the Intelligent Computing Theories and Application, 2021
An Improved Lagrangian Relaxation Algorithm for Solving the Lower Bound of Production Logistics.
Proceedings of the Intelligent Computing Theories and Application, 2021
Solving Online Food Delivery Problem via an Effective Hybrid Algorithm with Intelligent Batching Strategy.
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
A Novel Evolutionary Algorithm with Adaptation Mechanism for Fuzzy Permutation Flow-Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Multipartite-Graph Representation for Transportation Planning in Express Delivery Network.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
A Knowledge-Based Cooperative Algorithm for Energy-Efficient Scheduling of Distributed Flow-Shop.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Solving Nonlinear Equations System With Dynamic Repulsion-Based Evolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution.
IEEE Trans. Syst. Man Cybern. Syst., 2020
A Lightweight Appearance Quality Assessment System Based on Parallel Deep Learning for Painted Car Body.
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Evol. Comput., 2020
IEEE Trans. Evol. Comput., 2020
A Data-Driven Parallel Scheduling Approach for Multiple Agile Earth Observation Satellites.
IEEE Trans. Evol. Comput., 2020
Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs.
IEEE Trans. Cybern., 2020
IEEE Trans. Cybern., 2020
An Improved Ant Colony Optimization algorithm to the Periodic Vehicle Routing Problem with Time Window and Service Choice.
Swarm Evol. Comput., 2020
Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition.
Swarm Evol. Comput., 2020
Multi-objective based scheduling algorithm for sudden drinking water contamination incident.
Swarm Evol. Comput., 2020
A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop.
Knowl. Based Syst., 2020
A decomposition-based differential evolution with reinitialization for nonlinear equations systems.
Knowl. Based Syst., 2020
Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices.
Knowl. Based Syst., 2020
Inf. Sci., 2020
Clonal selection based intelligent parameter inversion algorithm for prestack seismic data.
Inf. Sci., 2020
A comparative study on evolutionary algorithms for the agent routing problem in multi-point dynamic task.
Int. J. Autom. Control., 2020
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion.
Expert Syst. Appl., 2020
Expert Syst. Appl., 2020
Effective algorithms for single-machine learning-effect scheduling to minimize completion-time-based criteria with release dates.
Expert Syst. Appl., 2020
Bound-guided hybrid estimation of distribution algorithm for energy-efficient robotic assembly line balancing.
Comput. Ind. Eng., 2020
Appl. Soft Comput., 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the 13th International Congress on Image and Signal Processing, 2020
2019
A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold.
IEEE Trans. Cybern., 2019
A Multi Ant System based hybrid heuristic algorithm for Vehicle Routing Problem with Service Time Customization.
Swarm Evol. Comput., 2019
A collaborative optimization algorithm for energy-efficient multi-objective distributed no-idle flow-shop scheduling.
Swarm Evol. Comput., 2019
Memetic Comput., 2019
Thematic issue on "advanced intelligent scheduling algorithms for smart manufacturing systems".
Memetic Comput., 2019
A distributed permutation flowshop scheduling problem with the customer order constraint.
Knowl. Based Syst., 2019
Fuzzy neighborhood-based differential evolution with orientation for nonlinear equation systems.
Knowl. Based Syst., 2019
Large-scale medical examination scheduling technology based on intelligent optimization.
J. Comb. Optim., 2019
Decoding methods for the flow shop scheduling with peak power consumption constraints.
Int. J. Prod. Res., 2019
An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time.
Int. J. Prod. Res., 2019
A memetic algorithm with competition for the capacitated green vehicle routing problem.
IEEE CAA J. Autom. Sinica, 2019
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem.
Expert Syst. Appl., 2019
Sci. China Inf. Sci., 2019
A decomposition-based matheuristic for supply chain network design with assembly line balancing.
Comput. Ind. Eng., 2019
An EEG-Based Multi-Classification Method of Braking Intentions for Driver-Vehicle Interaction.
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019
Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem.
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan.
Proceedings of the Intelligent Computing Theories and Application, 2019
OPMI: the Ontology of Precision Medicine and Investigation and its Support for Clinical Data and Metadata Representation and Analysis.
Proceedings of the 10th International Conference on Biomedical Ontology (ICBO 2019), Buffalo, New York, USA, July 30, 2019
A Deadline-Aware Estimation of Distribution Algorithm for Resource Scheduling in Fog Computing Systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
A Bi-Strategy Based Optimization Algorithm for the Dynamic Capacitated Electric Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
A Probability Model-based Memetic Algorithm for Distributed Heterogeneous Flow-Shop Scheduling.
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
An Iterated Greedy Algorithm for Distributed Hybrid Flowshop Scheduling Problem with Total Tardiness Minimization.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
Hybrid Evolutionary Algorithm for Integrated Supply Chain Network Design With Assembly Line Balancing.
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
2018
A Collaborative Multiobjective Fruit Fly Optimization Algorithm for the Resource Constrained Unrelated Parallel Machine Green Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2018
A knowledge-guided multi-objective fruit fly optimization algorithm for the multi-skill resource constrained project scheduling problem.
Swarm Evol. Comput., 2018
A multi-model estimation of distribution algorithm for energy efficient scheduling under cloud computing system.
J. Parallel Distributed Comput., 2018
Solving randomized time-varying knapsack problems by a novel global firefly algorithm.
Eng. Comput., 2018
Opposition-based learning monarch butterfly optimization with Gaussian perturbation for large-scale 0-1 knapsack problem.
Comput. Electr. Eng., 2018
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Improved Sub-gradient Algorithm for Solving the Lower Bound of No-Wait Flow-Shop Scheduling with Sequence-Dependent Setup Times and Release Dates.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Carbon-Efficient Scheduling of Blocking Flow Shop by Hybrid Quantum-Inspired Evolution Algorithm.
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
An Improved NSGA-II based Algorithm for Economical Hot Rolling Batch Scheduling under Time-sensitive Electricity Prices.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
2017
A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem.
Swarm Evol. Comput., 2017
Teaching-learning-based optimization algorithm for multi-skill resource constrained project scheduling problem.
Soft Comput., 2017
Satellite observation scheduling with a novel adaptive simulated annealing algorithm and a dynamic task clustering strategy.
Comput. Ind. Eng., 2017
A Cooperative Algorithm for Energy-efficient Scheduling of Distributed No-wait Flowshop.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A discrete teaching-learning-based optimisation algorithm for hybrid flowshop scheduling problem with peak power consumption constraints.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Modified multiobjective evolutionary algorithm based on decomposition for low-carbon scheduling of distributed permutation flow-shop.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A correlation-based bi-partition hierarchical clustering method for mode identification of multimode processes.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
A parallel multi-objective cooperative co-evolutionary algorithm with changing variables.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
A t-level driven search for estimation of distribution algorithm in solving task graph allocation to multiprocessors.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
2016
An Estimation of Distribution Algorithm-Based Memetic Algorithm for the Distributed Assembly Permutation Flow-Shop Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2016
A two-stage adaptive fruit fly optimization algorithm for unrelated parallel machine scheduling problem with additional resource constraints.
Expert Syst. Appl., 2016
A Competitive Memetic Algorithm for Carbon-Efficient Scheduling of Distributed Flow-Shop.
Proceedings of the Intelligent Computing Theories and Application, 2016
A Pareto based fruit fly optimization algorithm for task scheduling and resource allocation in cloud computing environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
An effective estimation of distribution algorithm for solving uniform parallel machine scheduling problem with precedence constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A hybrid discrete cuckoo search for distributed permutation flowshop scheduling problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
A knowledge-based multi-agent evolutionary algorithm for semiconductor final testing scheduling problem.
Knowl. Based Syst., 2015
A bi-population EDA for solving the no-idle permutation flow-shop scheduling problem with the total tardiness criterion.
Knowl. Based Syst., 2015
A hybrid estimation of distribution algorithm for the semiconductor final testing scheduling problem.
J. Intell. Manuf., 2015
An effective teaching-learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time.
Neurocomputing, 2015
Neurocomputing, 2015
An order-based estimation of distribution algorithm for stochastic hybrid flow-shop scheduling problem.
Int. J. Comput. Integr. Manuf., 2015
A multi-agent optimization algorithm for resource constrained project scheduling problem.
Expert Syst. Appl., 2015
A Pareto-Based Discrete Harmony Search Algorithm for Bi-objective Reentrant Hybrid Flowshop Scheduling Problem.
Proceedings of the Harmony Search Algorithm, 2015
An Improved Harmony Search Algorithm for the Distributed Two Machine Flow-Shop Scheduling Problem.
Proceedings of the Harmony Search Algorithm, 2015
2014
A novel fruit fly optimization algorithm for the semiconductor final testing scheduling problem.
Knowl. Based Syst., 2014
Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm.
Expert Syst. Appl., 2014
Grouped Fruit-Fly Optimization Algorithm for the No-Wait Lot Streaming Flow Shop Scheduling.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
An Effective Estimation of Distribution Algorithm for Multi-track Train Scheduling Problem.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
An iterated greedy algorithm for the hybrid flowshop problem with makespan criterion.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, 2014
An enhanced non-dominated sorting based fruit fly optimization algorithm for solving environmental economic dispatch problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A co-evolutionary teaching-learning-based optimization algorithm for stochastic RCPSP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Compact estimation of distribution algorithm for semiconductor final testing scheduling problem.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014
2013
A Pareto-Archived Estimation-of-Distribution Algorithm for Multiobjective Resource-Constrained Project Scheduling Problem.
IEEE Trans. Engineering Management, 2013
A High Performing Memetic Algorithm for the Flowshop Scheduling Problem With Blocking.
IEEE Trans Autom. Sci. Eng., 2013
An Effective Artificial Bee Colony Algorithm for a Real-World Hybrid Flowshop Problem in Steelmaking Process.
IEEE Trans Autom. Sci. Eng., 2013
A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem.
Knowl. Based Syst., 2013
An estimation of distribution algorithm for the multi-objective flexible job-shop scheduling problem.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, 2013
An effective shuffled frog-leaping algorithm for the flexible job-shop scheduling problem.
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2013
2012
Expert Syst. Appl., 2012
An effective hybrid EDA-based algorithm for solving multidimensional knapsack problem.
Expert Syst. Appl., 2012
A coevolutionary differential evolution with harmony search for reliability-redundancy optimization.
Expert Syst. Appl., 2012
A hybrid estimation of distribution algorithm for solving the resource-constrained project scheduling problem.
Expert Syst. Appl., 2012
An effective estimation of distribution algorithm for the multi-mode resource-constrained project scheduling problem.
Comput. Oper. Res., 2012
An effective shuffled frog-leaping algorithm for resource-constrained project scheduling problem.
Comput. Oper. Res., 2012
A bi-population based estimation of distribution algorithm for the flexible job-shop scheduling problem.
Comput. Ind. Eng., 2012
2011
Fixed-Structure H<sub>infinity</sub> Controller Synthesis Based on Differential Evolution With Level Comparison.
IEEE Trans. Evol. Comput., 2011
An effective shuffled frog-leaping algorithm for multi-mode resource-constrained project scheduling problem.
Inf. Sci., 2011
An effective hybrid discrete differential evolution algorithm for the flow shop scheduling with intermediate buffers.
Inf. Sci., 2011
Parameter identification of chaotic systems by hybrid Nelder-Mead simplex search and differential evolution algorithm.
Expert Syst. Appl., 2011
An effective hybrid biogeography-based optimization algorithm for parameter estimation of chaotic systems.
Expert Syst. Appl., 2011
A differential evolution algorithm with self-adapting strategy and control parameters.
Comput. Oper. Res., 2011
A hybrid harmony search algorithm for the blocking permutation flow shop scheduling problem.
Comput. Ind. Eng., 2011
A chaotic harmony search algorithm for the flow shop scheduling problem with limited buffers.
Appl. Soft Comput., 2011
An Effective Artificial Bee Colony Algorithm for Multi-objective Flexible Job-Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011
An Effective Shuffled Frog Leaping Algorithm for Solving Hybrid Flow-Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011
A Hybrid Algorithm Based on Simplex Search and Differential Evolution for Resource-Constrained Project Scheduling Problem.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011
An Estimation of Distribution Algorithm for the Flexible Job-Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011
A DE Based Variable Iterated Greedy Algorithm for the No-Idle Permutation Flowshop Scheduling Problem with Total Flowtime Criterion.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011
2010
Minimizing the total flow time in a flow shop with blocking by using hybrid harmony search algorithms.
Expert Syst. Appl., 2010
An effective hybrid quantum-inspired evolutionary algorithm for parameter estimation of chaotic systems.
Expert Syst. Appl., 2010
A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems.
Comput. Oper. Res., 2010
An effective hybrid particle swarm optimization for batch scheduling of polypropylene processes.
Comput. Chem. Eng., 2010
Appl. Math. Comput., 2010
Chaotic particle swarm optimization for synchronization of finite dimensional Hénon dynamical system.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010
2009
Multi-objective no-wait flow-shop scheduling with a memetic algorithm based on differential evolution.
Soft Comput., 2009
An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers.
Comput. Oper. Res., 2009
A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems.
Comput. Oper. Res., 2009
An Effective Hybrid Algorithm Based on Simplex Search and Differential Evolution for Global Optimization.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
Hybrid algorithms based on harmony search and differential evolution for global optimization.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009
2008
Proceedings of the Quantum Inspired Intelligent Systems, 2008
An Effective PSO-Based Hybrid Algorithm for Multiobjective Permutation Flow Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Part A, 2008
An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers.
Comput. Oper. Res., 2008
Differential evolution method for stochastic flow shop scheduling with limited buffers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
IEEE Trans. Syst. Man Cybern. Part B, 2007
Int. J. Autom. Comput., 2007
An effective co-evolutionary particle swarm optimization for constrained engineering design problems.
Eng. Appl. Artif. Intell., 2007
Proceedings of the Advances in Neural Networks, 2007
An Intelligent Differential Evolution Algorithm for Designing Trading-Ratio System of Water Market.
Proceedings of the Advances in Neural Networks, 2007
2006
Comput. Oper. Res., 2006
Appl. Math. Comput., 2006
Blending Scheduling Under Uncertainty Based on Particle Swarm Optimization with Hypothesis Test.
Proceedings of the Computational Intelligence and Bioinformatics, 2006
Proceedings of the Intelligent Computing, 2006
Proceedings of the Intelligent Computing, 2006
2005
Hybrid genetic algorithm based on quantum computing for numerical optimization and parameter estimation.
Appl. Math. Comput., 2005
Appl. Math. Comput., 2005
Appl. Math. Comput., 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the Advances in Intelligent Computing, 2005
Hybrid Particle Swarm Optimization for Flow Shop Scheduling with Stochastic Processing Time.
Proceedings of the Computational Intelligence and Security, International Conference, 2005
2004
Proceedings of the Advances in Neural Networks, 2004
2002
2001
Comput. Oper. Res., 2001