Multi-objective evolutionary algorithms with heuristic decoding for hybrid flow shop scheduling problem with worker constraint-Reference-Cited by-同舟云学术

Multi-objective evolutionary algorithms with heuristic decoding for hybrid flow shop scheduling problem with worker constraint

Published:2021-04 Issue: Volume:168 Page:114282
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Han Wenwu^ORCID,Deng Qianwang,Gong Guiliang,Zhang Like,Luo Qiang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference63 articles.

1. Two new meta-heuristics for no-wait flexible flow shop scheduling problem with capacitated machines, mixed make-to-order and make-to-stock policy;Abdollahpour;Soft Computing,2016

2. Learning curve models and applications: Literature review and research directions;Anzanello;International Journal of Industrial Ergonomics,2011

3. An extension of two machines sequencing problem;Arthanari;Opsearch,1971

4. Considering skills evolutions in multi-skilled workforce allocation with flexible working hours;Attia;International Journal of Productions Research,2014

5. Flow shop learning effect scheduling problem with release dates;Bai;Omega,2018

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