Multi-population cooperative multi-objective evolutionary algorithm for sequence-dependent group flow shop with consistent sublots

Author:

Zhang Yuanyuan,Li JunqingORCID,Xu Ying,Duan Peiyong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference77 articles.

1. A multi-objective linear programming model for scheduling part families and designing a group layout in cellular manufacturing systems;Rasool;Computers and Operations Research,2023

2. Scheduling non-similar groups on a flow line: Multiple group setups;Wilson;Robotics and Computer Integrated Manufacturing,2004

3. A hybrid genetic algorithm/mathematical programming approach to the multi-family flowshop scheduling problem with lot streaming;Martin;Omega,2006

4. A novel hybrid multi-objective artificial bee colony algorithm for blocking lot-streaming flow shop scheduling problems;Gong;Knowledge-Based Systems,2018

5. Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm;Zhang;Expert Systems with Applications,2023

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