Quan-Ke Pan
Orcid: 0000-0002-5022-7946Affiliations:
- Huazhong University of Science and Technology, State Key Laboratory of Digital Manufacturing Equipment and Technology, Wuhan, China
- Shanghai UniversitySchool of Mechatronic Engineering and Automation, China
- Liaocheng University, College of Computer Science, China
According to our database1,
Quan-Ke Pan
authored at least 236 papers
between 2006 and 2025.
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Bibliography
2025
A reinforcement learning-enhanced multi-objective iterated greedy algorithm for weeding-robot operation scheduling problems.
Expert Syst. Appl., 2025
2024
Sustainable Scheduling of Distributed Flow Shop Group: A Collaborative Multi-Objective Evolutionary Algorithm Driven by Indicators.
IEEE Trans. Evol. Comput., December, 2024
Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm.
IEEE Trans. Intell. Transp. Syst., June, 2024
Inf. Process. Manag., March, 2024
An effective adaptive iterated greedy algorithm for a cascaded flowshop joint scheduling problem.
Expert Syst. Appl., March, 2024
An effective population-based iterated greedy algorithm for solving the multi-AGV scheduling problem with unloading safety detection.
Inf. Sci., February, 2024
A cascaded flowshop joint scheduling problem with makespan minimization: A mathematical model and shifting iterated greedy algorithm.
Swarm Evol. Comput., 2024
A multi-objective teaching-learning-based optimizer for a cooperative task allocation problem of weeding robots and spraying drones.
Swarm Evol. Comput., 2024
The constrained permutation flowshop problem: An effective two-stage iterated greedy algorithm to minimize weighted tardiness.
Swarm Evol. Comput., 2024
An efficient collaborative multi-swap iterated greedy algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance.
Swarm Evol. Comput., 2024
Hybrid loading situation vehicle routing problem in the context of agricultural harvesting: A reconstructed MOEA/D with parallel populations.
Swarm Evol. Comput., 2024
An effective multi-objective evolutionary algorithm for multiple spraying robots task assignment problem.
Swarm Evol. Comput., 2024
A learning-based memetic algorithm for a cooperative task allocation problem of multiple unmanned aerial vehicles in smart agriculture.
Swarm Evol. Comput., 2024
The cascaded flowshop joint scheduling problem: A mathematical model and population-based iterated greedy algorithm to minimize total tardiness.
Robotics Comput. Integr. Manuf., 2024
An effective collaboration evolutionary algorithm for multi-robot task allocation and scheduling in a smart farm.
Knowl. Based Syst., 2024
A cooperative iterated greedy algorithm for the serial distributed permutation flowshop scheduling problem.
Int. J. Prod. Res., 2024
A variable-representation discrete artificial bee colony algorithm for a constrained hybrid flow shop.
Expert Syst. Appl., 2024
ConeE: Global and local context-enhanced embedding for inductive knowledge graph completion.
Expert Syst. Appl., 2024
Self-Adaptive Population-Based Iterated Greedy Algorithm for Distributed Permutation Flowshop Scheduling Problem with Part of Jobs Subject to a Common Deadline Constraint.
Expert Syst. Appl., 2024
A learning-driven multi-objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations.
Comput. Ind. Eng., 2024
The paradoxes, accelerations and heuristics for a constrained distributed flowshop group scheduling problem.
Comput. Ind. Eng., 2024
Three-way decision based island harmony search algorithm for robust flow-shop scheduling with uncertain processing times depicted by big data.
Appl. Soft Comput., 2024
A multiobjective optimizer with a K-means cluster algorithm for a distributed flexible flowshop rescheduling problem.
Appl. Soft Comput., 2024
A Learning-Based Discrete Jaya Algorithm for Multiobjective Sustainable Distributed Blocking Flow Shop Scheduling Problem with Heterogeneous Factories.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
Event-Triggered Integral Formation Controller for Networked Nonholonomic Mobile Robots: Theory and Experiment.
IEEE Trans. Intell. Transp. Syst., December, 2023
Redefining hybrid flow shop group scheduling: Unveiling a novel hybrid modeling paradigm and assessing 48 MILP and CP models.
Swarm Evol. Comput., December, 2023
A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling.
Swarm Evol. Comput., December, 2023
A slack speed-up based discrete artificial bee colony algorithm for resource-constrained operating room scheduling problem.
Comput. Ind. Eng., December, 2023
Nondominated sorting genetic algorithm-II with Q-learning for the distributed permutation flowshop rescheduling problem.
Knowl. Based Syst., October, 2023
An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem.
Eur. J. Oper. Res., October, 2023
Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
IEEE Trans. Ind. Informatics, June, 2023
Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System.
IEEE Trans. Intell. Transp. Syst., April, 2023
An effective self-adaptive iterated greedy algorithm for a multi-AGVs scheduling problem with charging and maintenance.
Expert Syst. Appl., April, 2023
A Heuristic-Based Adaptive Iterated Greedy Algorithm for Lot-Streaming Hybrid Flow Shop Scheduling Problem with Consistent and Intermingled Sub-Lots.
Sensors, March, 2023
Energy-efficient distributed heterogeneous blocking flowshop scheduling problem using a knowledge-based iterated Pareto greedy algorithm.
Neural Comput. Appl., March, 2023
An effective memetic algorithm for the distributed flowshop scheduling problem with an assemble machine.
Int. J. Prod. Res., March, 2023
A decomposition-based multi-objective evolutionary algorithm for hybrid flowshop rescheduling problem with consistent sublots.
Int. J. Prod. Res., February, 2023
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems.
IEEE Trans. Evol. Comput., 2023
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times.
Swarm Evol. Comput., 2023
A cooperative population-based iterated greedy algorithm for distributed permutation flowshop group scheduling problem.
Eng. Appl. Artif. Intell., 2023
A Multi-action Reinforcement Learning Algorithm for Energy-efficiency Blocking Flow-shop Scheduling Problem.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
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
An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems.
IEEE Trans. Cybern., 2022
Evolutionary Optimization Under Uncertainty: The Strategies to Handle Varied Constraints for Fluid Catalytic Cracking Operation.
IEEE Trans. Cybern., 2022
A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem.
IEEE Trans Autom. Sci. Eng., 2022
An effective two-stage iterated greedy algorithm to minimize total tardiness for the distributed flowshop group scheduling problem.
Swarm Evol. Comput., 2022
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem.
Swarm Evol. Comput., 2022
A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem.
Swarm Evol. Comput., 2022
Efficient multiobjective optimization for an AGV energy-efficient scheduling problem with release time.
Knowl. Based Syst., 2022
An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots.
Knowl. Based Syst., 2022
Intelligent optimization under blocking constraints: A novel iterated greedy algorithm for the hybrid flow shop group scheduling problem.
Knowl. Based Syst., 2022
A hash map-based memetic algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance to minimize total flowtime.
Knowl. Based Syst., 2022
A referenced iterated greedy algorithm for the distributed assembly mixed no-idle permutation flowshop scheduling problem with the total tardiness criterion.
Knowl. Based Syst., 2022
A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints.
Expert Syst. Appl., 2022
Metaheuristics with restart and learning mechanisms for the no-idle flowshop scheduling problem with makespan criterion.
Comput. Oper. Res., 2022
An efficient self-adaptive artificial bee colony algorithm for the distributed resource-constrained hybrid flowshop problem.
Comput. Ind. Eng., 2022
The distributed flowshop scheduling problem with delivery dates and cumulative payoffs.
Comput. Ind. Eng., 2022
Discrete Artificial Bee Colony Algorithm for the Distributed Resource Constrained Hybrid Flowshop Problem.
Proceedings of the 13th Asian Control Conference, 2022
2021
Two-objective robust job-shop scheduling with two problem-specific neighborhood structures.
Swarm Evol. Comput., 2021
A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time.
Swarm Evol. Comput., 2021
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems.
Swarm Evol. Comput., 2021
Production scheduling for blocking flowshop in distributed environment using effective heuristics and iterated greedy algorithm.
Robotics Comput. Integr. Manuf., 2021
A light-robust-optimization model and an effective memetic algorithm for an open vehicle routing problem under uncertain travel times.
Memetic Comput., 2021
An effective multi-objective evolutionary algorithm for solving the AGV scheduling problem with pickup and delivery.
Knowl. Based Syst., 2021
A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times.
Int. J. Prod. Res., 2021
An effective multi-start iterated greedy algorithm to minimize makespan for the distributed permutation flowshop scheduling problem with preventive maintenance.
Expert Syst. Appl., 2021
Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times.
Eng. Appl. Artif. Intell., 2021
A population-based iterated greedy algorithm to minimize total flowtime for the distributed blocking flowshop scheduling problem.
Eng. Appl. Artif. Intell., 2021
Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm.
Complex Syst. Model. Simul., 2021
An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem.
Comput. Ind. Eng., 2021
An effective iterated greedy algorithm for solving a multi-compartment AGV scheduling problem in a matrix manufacturing workshop.
Appl. Soft Comput., 2021
A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots.
Appl. Soft Comput., 2021
Appl. Soft Comput., 2021
Local search-based metaheuristics for the robust distributed permutation flowshop problem.
Appl. Soft Comput., 2021
An effective iterated greedy algorithm for PCBs grouping problem to minimize setup times.
Appl. Soft Comput., 2021
2020
A Three-Stage Multiobjective Approach Based on Decomposition for an Energy-Efficient Hybrid Flow Shop Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs.
IEEE Trans. Cybern., 2020
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times.
Swarm Evol. Comput., 2020
An effective discrete artificial bee colony algorithm for multi-AGVs dispatching problem in a matrix manufacturing workshop.
Expert Syst. Appl., 2020
Expert Syst. Appl., 2020
An effective Iterated Greedy algorithm for the distributed permutation flowshop scheduling with due windows.
Appl. Soft Comput., 2020
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time.
Appl. Soft Comput., 2020
An Effective Discrete Artificial Bee Colony Algorithm for Scheduling an Automatic-Guided-Vehicle in a Linear Manufacturing Workshop.
IEEE Access, 2020
Metaheuristics for Energy-Efficient No-Wait Flowshops: A Trade-off Between Makespan and Total Energy Consumption.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Novel General Variable Neighborhood Search through Q-Learning for No-Idle Flowshop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
An Effective Hybrid Genetic Algorithm and Variable Neighborhood Search for Integrated Process Planning and Scheduling in a Packaging Machine Workshop.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns.
IEEE Trans. Cybern., 2019
Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm.
IEEE Trans. Cybern., 2019
IEEE Trans Autom. Sci. Eng., 2019
Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion.
Swarm Evol. Comput., 2019
A multi-start variable neighbourhood descent algorithm for hybrid flowshop rescheduling.
Swarm Evol. Comput., 2019
A multi-objective migrating birds optimization algorithm for the hybrid flowshop rescheduling problem.
Soft Comput., 2019
A distributed permutation flowshop scheduling problem with the customer order constraint.
Knowl. Based Syst., 2019
Solving multi-area environmental/ economic dispatch by Pareto-based chemical-reaction optimization algorithm.
IEEE CAA J. Autom. Sinica, 2019
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems.
IEEE CAA J. Autom. Sinica, 2019
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem.
Expert Syst. Appl., 2019
Comput. Oper. Res., 2019
A multiobjective evolutionary algorithm based on decomposition for hybrid flowshop green scheduling problem.
Comput. Ind. Eng., 2019
Improved non-maximum suppression for object detection using harmony search algorithm.
Appl. Soft Comput., 2019
Effective constructive heuristics and meta-heuristics for the distributed assembly permutation flowshop scheduling problem.
Appl. Soft Comput., 2019
A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution.
Appl. Soft Comput., 2019
A Variable Block Insertion Heuristic for Solving Permutation Flow Shop Scheduling Problem with Makespan Criterion.
Algorithms, 2019
An Effective Encoding Method Based on Local Information for 3D Point Cloud Classification.
IEEE Access, 2019
Iterated Local Search for Steelmaking-refining-Continuous Casting Scheduling Problem.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
An improved migrating birds optimization for an integrated lot-streaming flow shop scheduling problem.
Swarm Evol. Comput., 2018
An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems.
J. Intell. Manuf., 2018
A hybrid artificial bee colony algorithm for a flexible job shop scheduling problem with overlapping in operations.
Int. J. Prod. Res., 2018
A hybrid variable neighborhood search algorithm for the hot rolling batch scheduling problem in compact strip production.
Comput. Ind. Eng., 2018
An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process.
Comput. Ind. Eng., 2018
Appl. Soft Comput., 2018
Free-form surface parts quality inspection optimization with a novel sampling method.
Appl. Soft Comput., 2018
Energy-Efficient Single Machine Total Weighted Tardiness Problem with Sequence-Dependent Setup Times.
Proceedings of the Intelligent Computing Theories and Application, 2018
Green Permutation Flowshop Scheduling: A Trade- off- Between Energy Consumption and Total Flow Time.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
An Enhanced Migrating Birds Optimization for the Flexible Job Shop Scheduling Problem with Lot Streaming.
Proceedings of the Intelligent Computing Theories and Application, 2018
An Effective Artificial Bee Colony for Distributed Lot-Streaming Flowshop Scheduling Problem.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
An energy-efficient single machine scheduling with release dates and sequence-dependent setup times.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Iterated greedy algorithms for the hybrid flowshop scheduling with total flow time minimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Differential evolution algorithm-based range image registration for free-form surface parts quality inspection.
Swarm Evol. Comput., 2017
Soft Comput., 2017
Iterated greedy algorithms for the blocking flowshop scheduling problem with makespan criterion.
Comput. Oper. Res., 2017
Iterated search methods for earliness and tardiness minimization in hybrid flowshops with due windows.
Comput. Oper. Res., 2017
Multi-objective inverse scheduling optimization of single-machine shop system with uncertain due-dates and processing times.
Clust. Comput., 2017
An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming.
Appl. Soft Comput., 2017
An improved fruit fly optimization algorithm for solving the multidimensional knapsack problem.
Appl. Soft Comput., 2017
Effective metaheuristics for scheduling a hybrid flowshop with sequence-dependent setup times.
Appl. Math. Comput., 2017
An effective fruit fly optimization algorithm for the hybrid flowshop scheduling problem.
Proceedings of the 13th International Conference on Natural Computation, 2017
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
A variable block insertion heuristic for permutation flowshops with makespan criterion.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
An Improved Artificial Bee Colony Algorithm for Solving Hybrid Flexible Flowshop With Dynamic Operation Skipping.
IEEE Trans. Cybern., 2016
A Hybrid Fruit Fly Optimization Algorithm for the Realistic Hybrid Flowshop Rescheduling Problem in Steelmaking Systems.
IEEE Trans Autom. Sci. Eng., 2016
Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion.
Knowl. Based Syst., 2016
Discrete harmony search algorithm for flexible job shop scheduling problem with multiple objectives.
J. Intell. Manuf., 2016
An ensemble fruit fly optimization algorithm for solving range image registration to improve quality inspection of free-form surface parts.
Inf. Sci., 2016
A shuffled multi-swarm micro-migrating birds optimizer for a multi-resource-constrained flexible job shop scheduling problem.
Inf. Sci., 2016
An improved artificial bee colony algorithm for flexible job-shop scheduling problem with fuzzy processing time.
Expert Syst. Appl., 2016
An effective co-evolutionary artificial bee colony algorithm for steelmaking-continuous casting scheduling.
Eur. J. Oper. Res., 2016
Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time.
Appl. Soft Comput., 2016
A Variable Block Insertion Heuristic for the Blocking Flowshop Scheduling Problem with Total Flowtime Criterion.
Algorithms, 2016
A Multi-Objective Harmony Search Algorithm for Sustainable Design of Floating Settlements.
Algorithms, 2016
Differential evolution algorithm-based range image registration with scaling parameters.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Normal histogram-based fruit fly optimization algorithm for range image registration.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016
A memetic algorithm with a variable block insertion heuristic for single machine total weighted tardiness problem with sequence dependent setup times.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
An ensemble of differential evolution algorithms with variable neighborhood search for constrained function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A discrete artificial bee colony algorithm for the permutation flowshop scheduling problem with sequence-dependent setup times.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A multi-objective self-adaptive differential evolution algorithm for conceptual high-rise building design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Multi-objective harmony search algorithm for layout design in theatre hall acoustics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Magnetic Material Group Furnace Problem Modeling and the Specialization of the Genetic Algorithm.
IEEE Trans. Engineering Management, 2015
An Effective Subgradient Method for Scheduling a Steelmaking-Continuous Casting Process.
IEEE Trans Autom. Sci. Eng., 2015
Solving the large-scale hybrid flow shop scheduling problem with limited buffers by a hybrid artificial bee colony algorithm.
Inf. Sci., 2015
Multi-objective optimization based reverse strategy with differential evolution algorithm for constrained optimization problems.
Expert Syst. Appl., 2015
A two-stage artificial bee colony algorithm scheduling flexible job-shop scheduling problem with new job insertion.
Expert Syst. Appl., 2015
A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems.
Eng. Appl. Artif. Intell., 2015
Effective ensembles of heuristics for scheduling flexible job shop problem with new job insertion.
Comput. Ind. Eng., 2015
An effective hybrid harmony search-based algorithm for solving multidimensional knapsack problems.
Appl. Soft Comput., 2015
A populated local search with differential evolution for blocking flowshop scheduling problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
A differential evolution algorithm with variable neighborhood search for multidimensional knapsack problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
An improved fruit fly optimization algorithm for continuous function optimization problems.
Knowl. Based Syst., 2014
Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm.
Knowl. Based Syst., 2014
An improved migrating birds optimisation for a hybrid flowshop scheduling with total flowtime minimisation.
Inf. Sci., 2014
Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling.
Inf. Sci., 2014
A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process.
Eur. J. Oper. Res., 2014
A hybrid variable neighborhood search for solving the hybrid flow shop scheduling problem.
Appl. Soft Comput., 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
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 variable iterated greedy algorithm with differential evolution for the no-idle permutation flowshop scheduling problem.
Comput. Oper. Res., 2013
A comprehensive review and evaluation of permutation flowshop heuristics to minimize flowtime.
Comput. Oper. Res., 2013
A General Variable Neighborhood Search Algorithm for the No-Idle Permutation Flowshop Scheduling Problem.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, 2013
Proceedings of the IEEE Symposium on Computational Intelligence In Production And Logistics Systems, 2013
2012
Eur. J. Oper. Res., 2012
Chemical-reaction optimization for flexible job-shop scheduling problems with maintenance activity.
Appl. Soft Comput., 2012
Asia Pac. J. Oper. Res., 2012
An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems.
Appl. Math. Comput., 2012
A Variable Iterated Greedy Algorithm with Differential Evolution for Solving No-Idle Flowshops.
Proceedings of the Swarm and Evolutionary Computation, 2012
Proceedings of the Swarm and Evolutionary Computation, 2012
Improved genetic algorithm for magnetic material two-stage multi-product production scheduling: A case study.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops.
Inf. Sci., 2011
An effective hybrid discrete differential evolution algorithm for the flow shop scheduling with intermediate buffers.
Inf. Sci., 2011
A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem.
Inf. Sci., 2011
Int. J. Comput. Commun. Control, 2011
Expert Syst. Appl., 2011
A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem.
Expert Syst. Appl., 2011
A hybrid particle swarm optimization with estimation of distribution algorithm for solving permutation flowshop scheduling problem.
Expert Syst. Appl., 2011
A differential evolution algorithm with self-adapting strategy and control parameters.
Comput. Oper. Res., 2011
Memetic Algorithm based on Improved Inver-over operator and Lin-Kernighan local search for the Euclidean traveling salesman problem.
Comput. Math. Appl., 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
Differential evolution algorithm with ensemble of parameters and mutation strategies.
Appl. Soft Comput., 2011
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 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
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Minimizing the total flow time in a flow shop with blocking by using hybrid harmony search algorithms.
Expert Syst. Appl., 2010
A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems.
Comput. Oper. Res., 2010
A hybrid variable neighborhood search algorithm for solving multi-objective flexible job shop problems.
Comput. Sci. Inf. Syst., 2010
An effective hybrid tabu search algorithm for multi-objective flexible job-shop scheduling problems.
Comput. Ind. Eng., 2010
An ensemble of discrete differential evolution algorithms for solving the generalized traveling salesman problem.
Appl. Math. Comput., 2010
A self-adaptive global best harmony search algorithm for continuous optimization problems.
Appl. Math. Comput., 2010
A Hybrid Pareto-Based Tabu Search for Multi-objective Flexible Job Shop Scheduling Problem with E/T Penalty.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010
Proceedings of the 2010 International Conference on Machine Vision and Human-machine Interface, 2010
Proceedings of the 2010 International Conference on Machine Vision and Human-machine Interface, 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
Scheduling the lot-streaming flow shop problem using a shuffled frog-leaping algorithm.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Harmony search algorithm with dynamic subpopulations for scheduling identical parallel machines.
Proceedings of the Sixth International Conference on Natural Computation, 2010
An ensemble of differential evolution algorithms for constrained function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
A discrete artificial bee colony algorithm for the permutation flow shop scheduling problem with total flowtime criterion.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Solving lot-streaming flow shop scheduling problems using a discrete harmony search algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
A hybrid Pareto-based local search for multi-objective flexible job shop scheduling problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
An improved harmony search algorithm for multi-dimensional function optimization problem.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
2009
A discrete differential evolution algorithm for the single machine total weighted tardiness problem with sequence dependent setup times.
Comput. Oper. Res., 2009
A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems.
Comput. Oper. Res., 2009
Conceptual Design Knowledge Retrieval, Reuse and Innovation Based on Case and Constraint.
Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009
Improved 2D Maximum Entropy Threshold Segmentation Method based on PSO.
Proceedings of the IJCCI 2009, 2009
A differential evolution algorithm with variable parameter search for real-parameter continuous function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem.
Comput. Oper. Res., 2008
A discrete differential evolution algorithm for the permutation flowshop scheduling problem.
Comput. Ind. Eng., 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Upper bounds on Taillard's benchmark suite for the no-wait flowshop scheduling problem with makespan criterion.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
A Discrete Differential Evolution Algorithm for the No-Wait Flowshop Scheduling Problem with Total Flowtime Criterion.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007
A Discrete Differential Evolution Algorithm for the Total Earliness and Tardiness Penalties with a Common Due Date on a Single-Machine.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
A Discrete Particle Swarm Optimization Algorithm for the Permutation Flowshop Sequencing Problem with Makespan Criterion.
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006
A Discrete Particle Swarm Optimization Algorithm for Single Machine Total Earliness and Tardiness Problem with a Common Due Date.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
Minimizing Total Earliness and Tardiness Penalties with a Common Due Date on a Single-Machine Using a Discrete Particle Swarm Optimization Algorithm.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006