A cooperative population-based iterated greedy algorithm for distributed permutation flowshop group scheduling problem-Reference-Cited by-同舟云学术

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A cooperative population-based iterated greedy algorithm for distributed permutation flowshop group scheduling problem

Published:2023-10 Issue: Volume:125 Page:106750
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhao Hui,Pan Quan-Ke,Gao Kai-Zhou

Funder

Shanghai Key Laboratory of Power Station Automation Technology

National Natural Science Foundation of China

Science and Technology Development Fund

Fundo para o Desenvolvimento das Ciências e da Tecnologia

Program of Shanghai Academic Research Leader

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference50 articles.

1. A comparison of scheduling philosophies for manufacturing cells;Askin;European J. Oper. Res.,1993

2. Towards a distributed implementation of chemical reaction optimization for the multi-factory permutation flowshop scheduling problem;Bargaoui;Procedia Comput. Sci.,2017

3. Bouamama, S., Blum, C., 2015. A randomized population-based iterated greedy algorithm for the minimum weight dominating set problem. In: 2015 6th Int. Conf. Inf. Commun. Syst.. ICICS 2015, pp. 7–12.

4. Our current understanding of mutualism;Bronstein;Q. Rev. Biol.,1994

5. The international wine supply chain : Challenges from bottling to the glass the international wine supply chain 200;Cawley,2014

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