Ling Wang

Orcid: 0000-0001-8964-6454

Affiliations:
  • Tsinghua University, Department of Automation, TNList, Beijing, China (PhD 1999)


According to our database1, Ling Wang authored at least 351 papers between 2001 and 2025.

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Bibliography

2025
Two-stage multi-objective optimization based on knowledge-driven approach: A case study on production and transportation integration.
Future Gener. Comput. Syst., 2025

Knowledge-enhanced multidimensional estimation of distribution hyper-heuristic evolutionary algorithm for semiconductor final testing scheduling problem.
Expert Syst. Appl., 2025

Q-learning based hyper-heuristic with clustering strategy for combinatorial optimization: A case study on permutation flow-shop scheduling problem.
Comput. Oper. Res., 2025

2024
Joint Multipath Channel Estimation and Array Channel Inconsistency Calibration for Massive MIMO Systems.
IEEE Internet Things J., December, 2024

Solving Orienteering Problems by Hybridizing Evolutionary Algorithm and Deep Reinforcement Learning.
IEEE Trans. Artif. Intell., November, 2024

Order Dispatching Via GNN-Based Optimization Algorithm for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst., October, 2024

A Self-Adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids.
IEEE Trans. Evol. Comput., October, 2024

Double DQN-Based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling With Multiple Priorities of Jobs.
IEEE Trans Autom. Sci. Eng., October, 2024

A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., August, 2024

Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems.
IEEE CAA J. Autom. Sinica, August, 2024

A Trans-Ptr-Nets-Based Transfer Optimization Method for Multiobjective Flexible Job-Shop Scheduling in IIoT.
IEEE Internet Things J., July, 2024

A Bilevel Evolutionary Algorithm for Large-Scale Multiobjective Task Scheduling in Multiagile Earth Observation Satellite Systems.
IEEE Trans. Syst. Man Cybern. Syst., June, 2024

A Two-Layer Encoding Learning Swarm Optimizer Based on Frequent Itemsets for Sparse Large-Scale Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica, June, 2024

An Iterative Greedy Algorithm With Q-Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024

Hybrid IoT Device Selection With Knowledge Transfer for Federated Learning.
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

Evolutionary Multitasking via Reinforcement Learning.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer.
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

Learning to Branch in Combinatorial Optimization with Graph Pointer Networks.
IEEE CAA J. Autom. Sinica, January, 2024

Large-Scale Binary Matrix Optimization for Multimicrogrids Network Structure Design.
IEEE Trans. Syst. Man Cybern. Syst., 2024

Multiobjective Variable Neighborhood Descent for Heterogeneous Multi-UAV Coordinated Scheduling.
IEEE Trans. Aerosp. Electron. Syst., 2024

A hierarchical reinforcement learning-aware hyper-heuristic algorithm with fitness landscape analysis.
Swarm Evol. Comput., 2024

A cooperative learning-aware dynamic hierarchical hyper-heuristic for distributed heterogeneous mixed no-wait flow-shop scheduling.
Swarm Evol. Comput., 2024

An enhanced Kalman filtering and historical learning mechanism driven estimation of distribution algorithm.
Swarm Evol. Comput., 2024

An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems.
Swarm Evol. Comput., 2024

Multi-objective optimization driven by preponderant individuals and symmetric sampling for operational parameter design in aluminum electrolysis process.
Swarm Evol. Comput., 2024

A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer.
Swarm Evol. Comput., 2024

Collaborative Q-learning hyper-heuristic evolutionary algorithm for the production and transportation integrated scheduling of silicon electrodes.
Swarm Evol. Comput., 2024

Transferring knowledge by budget online learning for multiobjective multitasking optimization.
Swarm Evol. Comput., 2024

Effective transferred knowledge identified by bipartite graph for multiobjective multitasking optimization.
Knowl. Based Syst., 2024

Meituan's Real-Time Intelligent Dispatching Algorithms Build the World's Largest Minute-Level Delivery Network.
INFORMS J. Appl. Anal., 2024

A multi-objective discrete differential evolution algorithm for energy-efficient distributed blocking flow shop scheduling problem.
Int. J. Prod. Res., 2024

A reinforcement learning driven two-stage evolutionary optimisation for hybrid seru system scheduling with worker transfer.
Int. J. Prod. Res., 2024

Ensemble multi-objective optimization approach for heterogeneous drone delivery problem.
Expert Syst. Appl., 2024

Accelerated evaluation of blocking flowshop scheduling with total flow time criteria using a generalized critical machine-based approach.
Eur. J. Oper. Res., 2024

Constrained multi-objective optimization evolutionary algorithm for real-world continuous mechanical design problems.
Eng. Appl. Artif. Intell., 2024

A comprehensive survey of weapon target assignment problem: Model, algorithm, and application.
Eng. Appl. Artif. Intell., 2024

Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling.
Eng. Appl. Artif. Intell., 2024

Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection.
CoRR, 2024

Sparse Bayesian Learning-Based Direct Localization for Distributed Sensor Arrays with Unknown Gain and Phase Errors.
Proceedings of the IEEE International Conference on Acoustics, 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

Robust Sparse Direct Localization of Smart Vehicle With Partly Calibrated Time Modulated Arrays.
IEEE Trans. Intell. Transp. Syst., November, 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

Pulsed Power Load Coordination in Mission- and Time-critical Cyber-physical Systems.
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

Evolutionary Sampling Agent for Expensive Problems.
IEEE Trans. Evol. Comput., 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

Coevolutionary Framework for Generalized Multimodal Multi-Objective Optimization.
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

A Biobjective Perspective for Mixed-Integer Programming.
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

A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques.
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

S-CoEA: Subproblems Co-Solving Evolutionary Algorithm for Uncertain Optimization.
IEEE Trans. Cybern., 2022

Offline data-driven evolutionary optimization based on model selection.
Swarm Evol. Comput., 2022

An offline learning co-evolutionary algorithm with problem-specific knowledge.
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

Multimodal optimization via dynamically hybrid niching differential evolution.
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 blocking flow-shop scheduling problem with sequence-dependent setup times.
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

Large-scale matrix optimization based multi microgrid topology design with a constrained differential evolution algorithm.
CoRR, 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

Multi-objective optimal power flow with stochastic wind and solar power.
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

Hybrid Evolutionary Scheduling for Energy-Efficient Fog-Enhanced Internet of Things.
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

Guest Editorial: Special issue on memetic algorithms with learning strategy.
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

Nonlinear Equations Solving with Intelligent Optimization Algorithms: A Survey.
Complex Syst. Model. Simul., 2021

A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling.
Complex Syst. Model. Simul., 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

Hybrid Grey Wolf Optimizer for Vehicle Routing Problem with Multiple Time Windows.
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

A Multimodel Prediction Method for Dynamic Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2020

Paradoxes in Numerical Comparison of Optimization Algorithms.
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

Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems.
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

Behavior of crossover operators in NSGA-III for large-scale optimization problems.
Inf. Sci., 2020

Clonal selection based intelligent parameter inversion algorithm for prestack seismic data.
Inf. Sci., 2020

Modified NSGA-III for sensor placement in water distribution system.
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

Memetic niching-based evolutionary algorithms for solving nonlinear equation system.
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

Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization.
CoRR, 2020

Bound-guided hybrid estimation of distribution algorithm for energy-efficient robotic assembly line balancing.
Comput. Ind. Eng., 2020

A collaborative LSHADE algorithm with comprehensive learning mechanism.
Appl. Soft Comput., 2020

Two Fast Heuristics for Online Order Dispatching.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Two-stage Algorithm for Fuzzy Online Order Dispatching Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

An Effective Iterated Greedy Algorithm for Online Route Planning Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Hybrid Differential Evolution Algorithm for the Online Meal Delivery Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Monocular-Based Pose Estimation of Non-Cooperative Space Targets Using EKF and EKPF.
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

Elastic parameter inversion problem based on brain storm optimization algorithm.
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

Comprehensive learning pigeon-inspired optimization with tabu list.
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

Single-Machine Green Scheduling Problem of Multi-speed Machine.
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

Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems.
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

Multi-clustering via evolutionary multi-objective optimization.
Inf. Sci., 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

A Modified MOEA/D for Energy-efficient Flexible Job Shop Scheduling Problem.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

Short-Term Load Forecasting Based on RBM and NARX Neural Network.
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

Extremized PICEA-g for Nadir Point Estimation in Many-Objective Optimization.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Two Possible Paradoxes in Numerical Comparisons of Optimization Algorithms.
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

Model predictive control for a brain-controlled mobile robot.
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

Intelligent manufacturing: New advances and challenges.
J. Intell. Manuf., 2015

An effective teaching-learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time.
Neurocomputing, 2015

Intelligent Computing for Sustainable Energy and Environment (ICSEE 2012).
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

A competitive memetic algorithm for the distributed flow shop scheduling problem.
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
A novel group search optimizer for multi-objective optimization.
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

A unified framework for population-based metaheuristics.
Ann. Oper. Res., 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

Parameter analysis based on stochastic model for differential evolution algorithm.
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

Control of Hénon chaotic systems by chaotic particle swarm optimization.
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

A DE-based approach to no-wait flow-shop scheduling.
Comput. Ind. Eng., 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

Differential Evolution with Level Comparison for Constrained Optimization.
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
Quantum-inspired genetic algorithms for flow shop scheduling.
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

Nonlinear constrained optimization by enhanced co-evolutionary PSO.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
An Effective PSO-Based Memetic Algorithm for Flow Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Fault diagnosis of nonlinear systems based on hybrid PSOSA optimization algorithm.
Int. J. Autom. Comput., 2007

An effective co-evolutionary particle swarm optimization for constrained engineering design problems.
Eng. Appl. Artif. Intell., 2007

Designing Neural Networks Using PSO-Based Memetic Algorithm.
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
An effective hybrid genetic algorithm for flow shop scheduling with limited buffers.
Comput. Oper. Res., 2006

Particle swarm optimization for function optimization in noisy environment.
Appl. Math. Comput., 2006

Blending Scheduling Under Uncertainty Based on Particle Swarm Optimization with Hypothesis Test.
Proceedings of the Computational Intelligence and Bioinformatics, 2006

A Hybrid Quantum-Inspired Genetic Algorithm for Multi-objective Scheduling.
Proceedings of the Intelligent Computing, 2006

Improved Differential Evolution with Dynamic Population Size.
Proceedings of the Intelligent Computing, 2006

2005
Hybrid genetic algorithm based on quantum computing for numerical optimization and parameter estimation.
Appl. Math. Comput., 2005

Optimal reduction of models using a hybrid searching strategy.
Appl. Math. Comput., 2005

A hybrid genetic algorithm-neural network strategy for simulation optimization.
Appl. Math. Comput., 2005

Designing Neural Networks Using Hybrid Particle Swarm Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A Quantum-Inspired Genetic Algorithm for Scheduling Problems.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Hybrid Quantum-Inspired Genetic Algorithm for Flow Shop Scheduling.
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
NN-Based GA for Engineering Optimization.
Proceedings of the Advances in Neural Networks, 2004

2002
Closed-loop model set validation under a stochastic framework.
Autom., 2002

2001
An effective hybrid optimization strategy for job-shop scheduling problems.
Comput. Oper. Res., 2001


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