1.Scheduling two-stage healthcare appointment systems via a knowledge-based biased random-key genetic algorithm

Yang, FJ, Li, C, Wan     More...

Yang, FJ, Li, C, Wang, F, Yang, Z, Gao, KZ     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2025, Volume 94,

收錄情况： WOS SCOPUS

WOS核心合集引用: 1  2024影響因子:  8.5 

2.Offline reinforcement learning strategies guided meta-heuristics for scheduling bi-objective unmanned surface vessel problems with multiple constraints

Huang, WZ, Gao, KZ,     More...

Huang, WZ, Gao, KZ, Wu, NQ, Zhao, L, Tinós, R     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2025, Volume 99,

收錄情况： WOS SCOPUS

WOS核心合集引用: 0  2024影響因子:  8.5 

3.A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution

Zhang, ZP, Fu, YP, G     More...

Zhang, ZP, Fu, YP, Gao, KZ, Zhang, H, Wang, L     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2024, Volume 85,

收錄情况： WOS SCOPUS

WOS核心合集引用: 48  2024影響因子:  8.5  发表年影響因子:  8.5 

4.Multi-objective migrating birds optimization for solving stochastic home health care routing and scheduling problems considering caregiver working time constraints

Fu, Yaping, Ma, Xiao     More...

Fu, Yaping, Ma, Xiaomeng, Gao, Kaizhou, Wang, Hongfeng, Sadollah, Ali, Chen, L. Y.     Less

Swarm and Evolutionary Computation[2210-6502], Published 2024, Volume 85,

收錄情况： WOS SCOPUS

WOS核心合集引用: 8  2024影響因子:  8.5  发表年影響因子:  8.5 

5.Artificial intelligence algorithms in unmanned surface vessel task assignment and path planning: A survey

Gao, Kaizhou, Gao, M     More...

Gao, Kaizhou, Gao, Minglong, Zhou, Mengchu, Ma, Zhenfang     Less

Swarm and Evolutionary Computation[2210-6502], Published 2024, Volume 86,

收錄情况： WOS SCOPUS

WOS核心合集引用: 31  2024影響因子:  8.5  发表年影響因子:  8.5 

6.A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV

Han, Xiaoqing, Cheng     More...

Han, Xiaoqing, Cheng, Weiyao, Meng, Leilei, Zhang, Biao, Gao, Kaizhou, Zhang, Chaoyong, Duan, Peng     Less

Swarm and Evolutionary Computation[2210-6502], Published 2024, Volume 86,

收錄情况： WOS SCOPUS

WOS核心合集引用: 68  2024影響因子:  8.5  发表年影響因子:  8.5 

7.Solving the multi-objective path planning problem for mobile robot using an NSGA-II

Duan, P, Yu, ZN, Gao     More...

Duan, P, Yu, ZN, Gao, KZ, Meng, LL, Han, YY, Ye, F     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2024, Volume 87,

收錄情况： WOS SCOPUS

WOS核心合集引用: 32  2024影響因子:  8.5  发表年影響因子:  8.5 

8.A double-Q network collaborative multi-objective optimization algorithm for precast scheduling with curing constraints

Li, Jun qing, Li, Ji     More...

Li, Jun qing, Li, Jia ke, Gao, Kai zhou, Xu, Ying     Less

Swarm and Evolutionary Computation[2210-6502], Published 2024, Volume 89,

收錄情况： WOS SCOPUS

WOS核心合集引用: 10  2024影響因子:  8.5  发表年影響因子:  8.5 

9.A self-adaptive co-evolutionary algorithm for multi-objective flexible job-shop rescheduling problem with multi-phase processing speed selection, condition-based preventive maintenance and dynamic repairman assignment

An, YJ, Zhao, ZY, Ga     More...

An, YJ, Zhao, ZY, Gao, KZ, Dong, YF, Chen, XH, Zhou, B     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2024, Volume 89,

收錄情况： WOS SCOPUS

WOS核心合集引用: 14  2024影響因子:  8.5  发表年影響因子:  8.5 

10.Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment

Ajani, OS, Ivan, DF,     More...

Ajani, OS, Ivan, DF, Darlan, D, Suganthan, PN, Gao, KZ, Mallipeddi, R     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2024, Volume 90,

收錄情况： WOS SCOPUS

WOS核心合集引用: 3  2024影響因子:  8.5  发表年影響因子:  8.5 

11.A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time

Zhang, RX, Yu, H, Ga     More...

Zhang, RX, Yu, H, Gao, KZ, Fu, YP, Kim, JH     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2024, Volume 90,

收錄情况： WOS SCOPUS

WOS核心合集引用: 9  2024影響因子:  8.5  发表年影響因子:  8.5 

12.Combining meta-heuristics and Q-learning for scheduling lot-streaming hybrid flow shops with consistent sublots

Lu, BX, Gao, KZ, Ren     More...

Lu, BX, Gao, KZ, Ren, YX, Li, DC, Slowik, A     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2024, Volume 91,

收錄情况： WOS SCOPUS

WOS核心合集引用: 13  2024影響因子:  8.5  发表年影響因子:  8.5 

13.Open shop scheduling with group and transportation operations by learning-driven hyper-heuristic algorithms

Wang, YF, Fu, YP, Ga     More...

Wang, YF, Fu, YP, Gao, KZ, Rahman, HF, Huang, M     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2024, Volume 91,

收錄情况： WOS SCOPUS

WOS核心合集引用: 7  2024影響因子:  8.5  发表年影響因子:  8.5 

14.Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop

Li, ZK, Sang, HY, Li     More...

Li, ZK, Sang, HY, Li, JQ, Han, YY, Gao, KZ, Zheng, ZX, Liu, LL     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2023, Volume 77,

收錄情况： WOS SCOPUS

WOS核心合集引用: 22  2024影響因子:  8.5  发表年影響因子:  8.2 

15.MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times

Meng, LL, Zhang, CY,     More...

Meng, LL, Zhang, CY, Zhang, B, Gao, KZ, Ren, YP, Sang, HY     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2023, Volume 82,

收錄情况： WOS SCOPUS

WOS核心合集引用: 70  2024影響因子:  8.5  发表年影響因子:  8.2 

16.Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing

Su, JM, Fu, YP, Gao,     More...

Su, JM, Fu, YP, Gao, KZ, Dong, HY, Mou, JH     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2023, Volume 83,

收錄情况： WOS SCOPUS

WOS核心合集引用: 24  2024影響因子:  8.5  发表年影響因子:  8.2 

17.Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems

Gao, ML, Gao, KZ, Ma     More...

Gao, ML, Gao, KZ, Ma, ZF, Tang, WY     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2023, Volume 82,

收錄情况： WOS SCOPUS

WOS核心合集引用: 51  2024影響因子:  8.5  发表年影響因子:  8.2 

18.A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems

Ren, YX, Gao, KZ, Fu     More...

Ren, YX, Gao, KZ, Fu, YP, Sang, HY, Li, DC, Luo, ZL     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2023, Volume 80,

收錄情况： WOS SCOPUS

WOS核心合集引用: 59  2024影響因子:  8.5  发表年影響因子:  8.2 

19.Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems

Yu, H, Gao, KZ, Ma,     More...

Yu, H, Gao, KZ, Ma, ZF, Pan, YX     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2023, Volume 80,

收錄情况： WOS SCOPUS

WOS核心合集引用: 67  2024影響因子:  8.5  发表年影響因子:  8.2 

20.Integrated optimization of real-time order acceptance and flexible job-shop rescheduling with multi-level imperfect maintenance constraints

An, YJ, Chen, XH, Ga     More...

An, YJ, Chen, XH, Gao, KZ, Zhang, L, Li, YH, Zhao, ZY     Less

SWARM AND EVOLUTIONARY COMPUTATION[2210-6502], Published 2023, Volume 77,

收錄情况： WOS SCOPUS

WOS核心合集引用: 34  2024影響因子:  8.5  发表年影響因子:  8.2