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Quan-Ke Pan · SciRah

Researcher profile · Semantic Scholar

Quan-Ke Pan

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Quan-Ke Pan — researcher profile on SciRah

h-index: 88
Works: 326
Citations: 21K

Most-cited papers

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems
Kaizhou Gao, Zhiguang Cao, Le Zhang, Zheng-Hua Chen +2 more
2019IEEE/CAA Journal of Automatica Sinica475 citations Open access
Semantic Scholar
Iterated Greedy methods for the distributed permutation flowshop scheduling problem
Rubén Ruiz, Quan-Ke Pan, B. Naderi
2019Omega383 citations Open access
Semantic Scholar
Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm
Kaizhou Gao, Fa-Jun Yang, Meng-Chu Zhou, Quan-Ke Pan +1 more
2019IEEE Transactions on Cybernetics259 citations Open access
Semantic Scholar
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem
Quan-Ke Pan, Liang Gao, Ling Wang, Jing-Chang Liang +1 more
2019Expert systems with applications240 citations Open access
Semantic Scholar
Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns
Yu-Yan Han, Dun-Wei Gong, Yaochu Jin, Quan-Ke Pan
2019IEEE Transactions on Cybernetics201 citations Open access
Semantic Scholar
An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems
Quan-Ke Pan, Liang Gao, Ling Wang
2020IEEE Transactions on Cybernetics192 citations
Semantic Scholar
Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs
Junqing Li, Mei-xian Song, Ling Wang, Pei-Yong Duan +3 more
2020IEEE Transactions on Cybernetics166 citations
Semantic Scholar
Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem
Yu Du, Junqing Li, Xiaolong Chen, Pei-Yong Duan +1 more
2023IEEE Transactions on Emerging Topics in Computational Intelligence159 citations
Semantic Scholar
A Three-Stage Multiobjective Approach Based on Decomposition for an Energy-Efficient Hybrid Flow Shop Scheduling Problem
Biao Zhang, Quan-Ke Pan, Liang Gao, Lei-Lei Meng +2 more
2020IEEE Transactions on Systems, Man & Cybernetics. Systems148 citations
Semantic Scholar
A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution
Chao Lu, Liang Gao, Quan-Ke Pan, Xin-Yu Li +1 more
2019Applied Soft Computing148 citations
Semantic Scholar
Effective constructive heuristics and meta-heuristics for the distributed assembly permutation flowshop scheduling problem
Quan-Ke Pan, Liang Gao, Xin-Yu Li, Framinan M. Jose
2019Applied Soft Computing144 citations
Semantic Scholar
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems
Xu He, Quan-Ke Pan, Liang Gao, Ling Wang +1 more
2021IEEE Transactions on Evolutionary Computation143 citations
Semantic Scholar
Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion
Hong-Yan Sang, Quan-Ke Pan, Junqing Li, Ping Wang +3 more
2019Swarm and Evolutionary Computation136 citations
Semantic Scholar
A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem
Junqing Li, Yu Du, Kaizhou Gao, Pei-Yong Duan +3 more
2022IEEE Transactions on Automation Science and Engineering132 citations
Semantic Scholar
A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time
Tao Meng, Quan-Ke Pan
2021Swarm and Evolutionary Computation128 citations
Semantic Scholar
An effective discrete artificial bee colony algorithm for multi-AGVs dispatching problem in a matrix manufacturing workshop
Wen-Qiang Zou, Quan-Ke Pan, Tao Meng, Liang Gao +1 more
2020Expert systems with applications128 citations
Semantic Scholar
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
Jiang-Ping Huang, Quan-Ke Pan, Liang Gao
2020Swarm and Evolutionary Computation127 citations
Semantic Scholar
An Effective Hybrid Genetic Algorithm and Variable Neighborhood Search for Integrated Process Planning and Scheduling in a Packaging Machine Workshop
Xin-Yu Li, Liang Gao, Quan-Ke Pan, Liang Wan +1 more
2019IEEE Transactions on Systems, Man & Cybernetics. Systems123 citations Open access
Semantic Scholar
An effective multi-start iterated greedy algorithm to minimize makespan for the distributed permutation flowshop scheduling problem with preventive maintenance
Jia-Yang Mao, Quan-Ke Pan, Zhong-Hua Miao, Liang Gao
2021Expert systems with applications117 citations
Semantic Scholar
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time
Yu-Yan Han, Junqing Li, Hong-Yan Sang, Yi-Ping Liu +2 more
2020Applied Soft Computing116 citations
Semantic Scholar
Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times
Jiang-Ping Huang, Quan-Ke Pan, Zhong-Hua Miao, Liang Gao
2021Engineering applications of artificial intelligence115 citations
Semantic Scholar
An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem
Ying-Ying Huang, Quan-Ke Pan, Jiang-Ping Huang, P. Suganthan +1 more
2020Computers & industrial engineering113 citations
Semantic Scholar
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem
Hao-Xiang Qin, Yu-Yan Han, Biao Zhang, Leilei Meng +3 more
2021Swarm and Evolutionary Computation110 citations
Semantic Scholar
A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
Yingli Li, Xin-Yu Li, Liang Gao, Biao Zhang +3 more
2020International Journal of Production Research108 citations
Semantic Scholar
A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints
Hao-Xiang Qin, Yu-Yan Han, Yiping Liu, Junqing Li +2 more
2022Expert systems with applications97 citations
Semantic Scholar
A distributed permutation flowshop scheduling problem with the customer order constraint
Tao Meng, Quan-Ke Pan, Ling Wang
2019Knowledge-Based Systems95 citations
Semantic Scholar
An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots
Biao Zhang, Quan-Ke Pan, Leilei Meng, Chao Lu +2 more
2021Knowledge-Based Systems91 citations
Semantic Scholar
A multi-start variable neighbourhood descent algorithm for hybrid flowshop rescheduling
Kunkun Peng, Quan-Ke Pan, Liang Gao, Xin-Yu Li +2 more
2019Swarm and Evolutionary Computation91 citations
Semantic Scholar
Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm
Xue Han, Yu-Yan Han, Qing-da Chen, Junqing Li +4 more
2021Complex System Modeling and Simulation89 citations Open access
Semantic Scholar
An effective iterated greedy algorithm for solving a multi-compartment AGV scheduling problem in a matrix manufacturing workshop
Wen-Qiang Zou, Quan-Ke Pan, M. Tasgetiren
2020Applied Soft Computing82 citations
Semantic Scholar
Metaheuristic algorithms for the hybrid flowshop scheduling problem
Hande Öztop, M. Tasgetiren, D. Eliiyi, Quan-Ke Pan
2019Computers & Operations Research82 citations
Semantic Scholar
An effective Iterated Greedy algorithm for the distributed permutation flowshop scheduling with due windows
Xue-Lei Jing, Quan-Ke Pan, Liang Gao, Yu-Long Wang
2020Applied Soft Computing76 citations
Semantic Scholar
A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots
Biao Zhang, Quan-Ke Pan, Leilei Meng, Xinli Zhang +3 more
2021Applied Soft Computing75 citations
Semantic Scholar
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems
Yuanzhen Li, Quan-Ke Pan, Junqing Li, Liang Gao +1 more
2021Swarm and Evolutionary Computation67 citations
Semantic Scholar
An effective multi-objective evolutionary algorithm for solving the AGV scheduling problem with pickup and delivery
Wen-Qiang Zou, Quan-Ke Pan, Ling Wang
2021Knowledge-Based Systems66 citations
Semantic Scholar
A multi-objective hot-rolling scheduling problem in the compact strip production
Quan-Ke Pan, Liang Gao, Ling Wang
2019Applied Mathematical Modelling63 citations Open access
Semantic Scholar
An effective two-stage iterated greedy algorithm to minimize total tardiness for the distributed flowshop group scheduling problem
Zhi-Yuan Wang, Quan-Ke Pan, Liang Gao, Yu-Long Wang
2022Swarm and Evolutionary Computation58 citations
Semantic Scholar
An energy-efficient permutation flowshop scheduling problem
Hande Öztop, M. Tasgetiren, D. Eliiyi, Quan-Ke Pan +1 more
2020Expert systems with applications58 citations
Semantic Scholar
A population-based iterated greedy algorithm to minimize total flowtime for the distributed blocking flowshop scheduling problem
Shuai Chen, Quan-Ke Pan, Liang Gao, Hong-Yan Sang
2021Engineering applications of artificial intelligence55 citations
Semantic Scholar
A referenced iterated greedy algorithm for the distributed assembly mixed no-idle permutation flowshop scheduling problem with the total tardiness criterion
Yuan-Zhen Li, Quan-Ke Pan, Rubén Ruiz, Hong-Yan Sang
2021Knowledge-Based Systems54 citations
Semantic Scholar
Efficient multiobjective optimization for an AGV energy-efficient scheduling problem with release time
Wen-Qiang Zou, Quan-Ke Pan, Ling Wang, Zhong-Hua Miao +1 more
2022Knowledge-Based Systems53 citations
Semantic Scholar
A green scheduling algorithm for the distributed flowshop problem
Yuanzhen Li, Quan-Ke Pan, Kaizhou Gao, M. Tasgetiren +2 more
2021Applied Soft Computing53 citations
Semantic Scholar
Solving multi-area environmental/ economic dispatch by Pareto-based chemical-reaction optimization algorithm
Junqing Li, Hong-Yan Sang, Quan-Ke Pan, Peiyong Duan +1 more
2019IEEE/CAA Journal of Automatica Sinica51 citations Open access
Semantic Scholar
An Effective Iterated Greedy Algorithm for a Robust Distributed Permutation Flowshop Problem With Carryover Sequence-Dependent Setup Time
Xue-Lei Jing, Quan-Ke Pan, Liang Gao, Ling Wang
2022IEEE Transactions on Systems, Man & Cybernetics. Systems50 citations
Semantic Scholar
A hash map-based memetic algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance to minimize total flowtime
Jia-Yang Mao, Quan-Ke Pan, Zhong Miao, Liang Gao +1 more
2022Knowledge-Based Systems49 citations
Semantic Scholar
A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem
Ying-Ying Huang, Quan-Ke Pan, Liang Gao, Zhong Miao +1 more
2022Swarm and Evolutionary Computation46 citations
Semantic Scholar
A cooperative population-based iterated greedy algorithm for distributed permutation flowshop group scheduling problem
H Zhao, Quan-Ke Pan, Kai-zhou Gao
2023Engineering applications of artificial intelligence44 citations
Semantic Scholar
Production scheduling for blocking flowshop in distributed environment using effective heuristics and iterated greedy algorithm
Shuai Chen, Quan-Ke Pan, Liang Gao
2021Robotics Comput. Integr. Manuf.44 citations Open access
Semantic Scholar
An efficient self-adaptive artificial bee colony algorithm for the distributed resource-constrained hybrid flowshop problem
Xin-rui Tao, Quan-Ke Pan, Liang Gao
2022Computers & industrial engineering43 citations
Semantic Scholar
Nondominated sorting genetic algorithm-II with Q-learning for the distributed permutation flowshop rescheduling problem
Xin-rui Tao, Quan-Ke Pan, Hong-Yan Sang, Liang Gao +2 more
2023Knowledge-Based Systems42 citations
Semantic Scholar

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