A matheuristic-based multi-objective evolutionary algorithm for flexible assembly jobs shop scheduling problem in cellular manufacture-Reference-Cited by-同舟云学术

A matheuristic-based multi-objective evolutionary algorithm for flexible assembly jobs shop scheduling problem in cellular manufacture

Published:2024-06 Issue: Volume:87 Page:101549
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Hu Yifan,Zhang Liping,Wang Qiong,Zhang Zikai,Tang Qiuhua

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference56 articles.

1. A three-layer chromosome genetic algorithm for multi-cell scheduling with flexible routes and machine sharing;Feng;Int. J. Prod. Econ.,2018

2. Multi-objective optimisation in flexible assembly job shop scheduling using a distributed ant colony system;Zhang;Eur. J. Oper. Res.,2020

3. Inventory and total completion time minimization for assembly job-shop scheduling considering material integrity and assembly sequential constraint;Cheng;J. Manuf. Syst.,2022

4. A teaching-learning-based optimization with feedback for L-R fuzzy flexible assembly job shop scheduling problem with batch splitting;Sun;Expert. Syst. Appl.,2023

5. An adaptive artificial bee colony with reinforcement learning for distributed three-stage assembly scheduling with maintenance;Wang;Appl. Soft. Comput.,2022

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