A self-adaptive memetic algorithm with Q-learning for solving the multi-AGVs dispatching problem-Reference-Cited by-同舟云学术

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A self-adaptive memetic algorithm with Q-learning for solving the multi-AGVs dispatching problem

Published:2024-10 Issue: Volume:90 Page:101697
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Zheng Chang-Zhe,Sang Hong-Yan^ORCID,Xing Li-Ning,Zou Wen-Qiang,Meng Lei-Lei^ORCID,Meng Tao

Publisher

Elsevier BV

Reference45 articles.

1. Mixed-integer linear programming and constraint programming formulations for solving distributed flexible job shop scheduling problem;Meng;Comput. Ind. Eng.,2020

2. A generic markov decision process model and reinforcement learning method for scheduling agile earth observation satellites;He;IEEE Trans. Syst. Man Cybern.: Systems,2022

3. Hybrid cost and time path planning for multiple autonomous guided vehicles;Fazlollahtabar;Appl. Intell.,2018

4. Branch-price-and-cut for the mixed capacitated general routing problem with time windows;Ciancio;Eur. J. Oper. Res.,2018

5. Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times;Meng;Swarm Evol. Comput.,2022

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