1.Online reinforcement learning strategies driven artificial bee colony algorithm for bi-objective distributed reentrant flowshops scheduling problem with sequence-sependent setup time
Yao, A, Gao, KZ, Sug
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Yao, A, Gao, KZ, Suganthan, PN, Sang, HY
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EXPERT SYSTEMS WITH APPLICATIONS[0957-4174],
Published 2026,
Volume 298,
收錄情况:
WOS
SCOPUS
WOS核心合集引用: 0
2024影響因子:
7.5
2.Co-evolutionary multi-objective optimization enhanced by reinforcement learning decision support in distributed group scheduling
Li, Z, Wang, YT, Han
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Li, Z, Wang, YT, Han, YY, Meng, LL, Gao, KZ, Chen, QD
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EXPERT SYSTEMS WITH APPLICATIONS[0957-4174],
Published 2026,
Volume 299,
收錄情况:
WOS
SCOPUS
WOS核心合集引用: 0
2024影響因子:
7.5
3.An accelerated discrete artificial bee colony algorithm under the makespan constraint: Solving the distributed blocking flow shop scheduling problem with balanced energy consumption costs
Zhang, CY, Han, YY,
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Zhang, CY, Han, YY, Wang, YT, Li, JQ, Gao, KZ
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EXPERT SYSTEMS WITH APPLICATIONS[0957-4174],
Published 2025,
Volume 260,
收錄情况:
WOS
SCOPUS
WOS核心合集引用: 4
2024影響因子:
7.5
4.A genetic programming based cooperative evolutionary algorithm for flexible job shop with crane transportation and setup times
Chen, Xiaolong, Li,
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Chen, Xiaolong, Li, Junqing, Wang, Zunxun, Li, Jiake, Gao, Kaizhou
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Applied Soft Computing[1568-4946],
Published 2025,
Volume 169,
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WOS
SCOPUS
WOS核心合集引用: 16
2024影響因子:
6.6
5.Modelling and scheduling distributed assembly permutation flow-shops using reinforcement learning-based evolutionary algorithms
Qiu, Bohan, Gao, Kai
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Qiu, Bohan, Gao, Kaizhou, Yu, Hui, Sadollah, Ali
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Engineering Applications of Artificial Intelligence[0952-1976],
Published 2025,
Volume 142,
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WOS
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WOS核心合集引用: 6
2024影響因子:
8.0
6.A novel multi-objective hybrid evolutionary algorithm based on variable weight strategy for distributed hybrid flowshop scheduling with batch processing machines and variable sublots
Li, Chengshuai, Han,
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Li, Chengshuai, Han, Yuyan, Zhang, Biao, Wang, Yuting, Li, Junqing, Gao, Kaizhou
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Applied Soft Computing[1568-4946],
Published 2025,
Volume 170,
收錄情况:
WOS
SCOPUS
WOS核心合集引用: 2
2024影響因子:
6.6
7.Integrated Scheduling of Multi-Objective Job Shops and Material Handling Robots with Reinforcement Learning Guided Meta-Heuristics
Xu, ZY, Jia, Q, Gao,
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Xu, ZY, Jia, Q, Gao, KZ, Fu, YP, Yin, L, Sun, QQ
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MATHEMATICS[2227-7390],
Published 2025,
Volume 13,
Issue 1,
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WOS
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WOS核心合集引用: 1
2024影響因子:
2.2
8.Reinforcement Learning-Assisted Memetic Algorithm for Sustainability-Oriented Multiobjective Distributed Flow Shop Group Scheduling
Wang, YH, Han, YY, W
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Wang, YH, Han, YY, Wang, YT, Wang, XP, Liu, YP, Gao, KZ
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[2168-2216],
Published 2025,
Volume 55,
Issue 4,
Pages 2399-2413
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WOS
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WOS核心合集引用: 12
2024影響因子:
8.7
9.Bi-Objective Integrated Scheduling of Job Shop Problems and Material Handling Robots with Setup Time
Liu, RZ, Jia, Q, Yu,
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Liu, RZ, Jia, Q, Yu, H, Gao, KZ, Fu, YP, Yin, L
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MATHEMATICS[2227-7390],
Published 2025,
Volume 13,
Issue 3,
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WOS
SCOPUS
WOS核心合集引用: 0
2024影響因子:
2.2
10.迭代贪婪算法优化分布式阻塞流水车间成组鲁棒调度问题
王一正,王玉亭,韩玉艳,李寰,高开周
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王一正,王玉亭,韩玉艳,李寰,高开周
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计算机应用研究[1001-3695],
Published 2025,
Volume 42,
Issue 02,
Pages 469-476
收錄情况:
CNKI
11.Scheduling two-stage healthcare appointment systems via a knowledge-based biased random-key genetic algorithm
Yang, FJ, Li, C, Wan
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Yang, FJ, Li, C, Wang, F, Yang, Z, Gao, KZ
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SWARM AND EVOLUTIONARY COMPUTATION[2210-6502],
Published 2025,
Volume 94,
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WOS
SCOPUS
WOS核心合集引用: 1
2024影響因子:
8.5
12.Enhancing distributed blocking flowshop group scheduling: Theoretical insight and application of an iterated greedy algorithm with idle time insertion and rapid evaluation mechanisms
Wang, YZ, Wang, YT,
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Wang, YZ, Wang, YT, Han, YY, Gao, KZ, Li, JQ, Wang, YH
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EXPERT SYSTEMS WITH APPLICATIONS[0957-4174],
Published 2025,
Volume 271,
收錄情况:
WOS
SCOPUS
WOS核心合集引用: 2
2024影響因子:
7.5
13.Imitation Learning-Assisted Evolutionary Algorithm for Energy-Efficient Flexible Job Shop Scheduling Problem With Automated Guided Vehicles
Cheng, Weiyao, Meng,
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Cheng, Weiyao, Meng, Leilei, Zhang, Biao, Gao, Kaizhou, Sang, Hongyan
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IEEE Transactions on Evolutionary Computation[1089-778X],
Published 2025,
收錄情况:
SCOPUS
2024影響因子:
12.0
14.A Q-learning-driven genetic algorithm for the distributed hybrid flow shop group scheduling problem with delivery time windows☆
Ji, QH, Han, YY, Wan
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Ji, QH, Han, YY, Wang, YT, Gong, DW, Gao, KZ
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INFORMATION SCIENCES[0020-0255],
Published 2025,
Volume 705,
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WOS
SCOPUS
WOS核心合集引用: 5
2024影響因子:
6.8
15.A rapid population-based iterated greedy for distributed blocking group flowshop scheduling with delivery time windows under multiple processing time scenarios
Wang, YZ, Wang, YT,
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Wang, YZ, Wang, YT, Han, YY, Li, JQ, Gao, KZ
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COMPUTERS & INDUSTRIAL ENGINEERING[0360-8352],
Published 2025,
Volume 202,
收錄情况:
WOS
SCOPUS
WOS核心合集引用: 2
2024影響因子:
6.5
16.Solving the permutation flow shop scheduling problem with sequence-dependent setup time via iterative greedy algorithm and imitation learning
Du, ZS, Li, JQ, Song
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Du, ZS, Li, JQ, Song, HN, Gao, KZ, Xu, Y, Li, JK, Zheng, ZX
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MATHEMATICS AND COMPUTERS IN SIMULATION[0378-4754],
Published 2025,
Volume 234,
Pages 169-193
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WOS
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WOS核心合集引用: 6
2024影響因子:
4.4
17.Prediction and Feedback Assisted Evolutionary Algorithms for Scheduling Urban Traffic Signals
Lin, Zhongjie, Gao,
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Lin, Zhongjie, Gao, Kaizhou, Duan, Peiyong, Wu, Naiqi, Suganthan, Ponnuthurai Nagaratnam
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IEEE Transactions on Intelligent Transportation Systems[1524-9050],
Published 2025,
Volume 26,
Issue 5,
Pages 6881-6890
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WOS
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WOS核心合集引用: 2
2024影響因子:
8.4
18.Local search-based meta-heuristics combined with an improved K-Means plus plus clustering algorithm for unmanned surface vessel scheduling
Tang, WY, Gao, KZ, M
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Tang, WY, Gao, KZ, Ma, ZF, Lin, ZJ, Yu, H, Huang, WZ, Wu, NQ
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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH[0020-7543],
Published 2025,
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WOS核心合集引用: 4
2024影響因子:
7.3
19.Optimizing Dynamic Flexible Job Shop Scheduling Using an Evolutionary Multi-Task Optimization Framework and Genetic Programming
Chen, Xiaolong, Li,
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Chen, Xiaolong, Li, Junqing, Wang, Zunxun, Chen, Qingda, Gao, Kaizhou, Pan, Quanke
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IEEE Transactions on Evolutionary Computation[1089-778X],
Published 2025,
Volume 29,
Issue 5,
Pages 1502-1516
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WOS
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WOS核心合集引用: 14
2024影響因子:
12.0
20.An enhanced artificial bee colony algorithm with self-learning optimization mechanism for multi-objective path planning problem
Ye, F, Duan, P, Meng
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Ye, F, Duan, P, Meng, LL, Sang, HY, Gao, KZ
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE[0952-1976],
Published 2025,
Volume 149,
收錄情况:
WOS
SCOPUS
WOS核心合集引用: 7
2024影響因子:
8.0