An Effective Multi-population Grey Wolf Optimizer based on Reinforcement Learning for Flow Shop Scheduling Problem with Multi-machine Collaboration-Reference-Cited by-同舟云学术

An Effective Multi-population Grey Wolf Optimizer based on Reinforcement Learning for Flow Shop Scheduling Problem with Multi-machine Collaboration

Published:2021-12 Issue: Volume:162 Page:107738
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Chen Ronghua,Yang Bo,Li Shi,Wang Shilong,Cheng Qingqing

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference47 articles.

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3. Bi-level genetic algorithms for a two-stage assembly flow-shop scheduling problem with batch delivery system;Basir;Computers & Industrial Engineering,2018

4. Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy;Cai;Expert Systems with Applications,2019

5. A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem;Chen;Computers & Industrial Engineering,2020

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