Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem-Reference-Cited by-同舟云学术

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Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem

Published:2019-06 Issue: Volume:124 Page:309-324
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Pan Quan-Ke^ORCID,Gao Liang^ORCID,Wang Ling,Liang Jing,Li Xin-Yu^ORCID

Funder

National Science Foundation of China

National Natural Science Fund for Distinguished Young Scholars of China

Shanghai Key Laboratory of Power station Automation Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference59 articles.

1. Solving distributed FMS scheduling problems subject to maintenance: genetic algorithms approach;Chan;Robotics and Computer-Integrated Manufacturing,2006

2. An improved discrete artificial bee colony algorithm to minimize the makespan on hybrid flow shop problems;Cui;Neurocomputing,2015

3. A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem;Deng;Swarm and Evolutionary Computing,2017

4. Data-Based Multiobjective Plant-Wide Performance Optimization of Industrial Processes Under Dynamic Environments;Ding;IEEE Transactions On Industrial Informatics,2016

5. An iterated local search algorithm for the permutation flowshop problem with total flowtime criterion;Dong;Computers & Operations Research,2009

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