Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem-Reference-Cited by-同舟云学术

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Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem

Published:2020-12 Issue: Volume:59 Page:100747
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Shao Zhongshi,Shao Weishi,Pi Dechang

Funder

Natural Science Basic Research Program of Shaanxi

Fundamental Research Funds for the Central Universities

Natural Science Foundation

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference72 articles.

1. An imperialist competitive algorithm with memory for distributed unrelated parallel machines scheduling;Lei;Int. J. Prod. Res.,2020

2. Optimisation of distributed manufacturing flexible job shop scheduling by using hybrid genetic algorithms;Chang;J. Intel. Manuf.,2017

3. Effective constructive heuristics and meta-heuristics for the distributed assembly permutation flowshop scheduling problem;Pan;Appl. Soft Comput.,2019

4. Dynamic shuffled frog-leaping algorithm for distributed hybrid flow shop scheduling with multiprocessor tasks;Cai;Eng. Appl. Artif. Intell.,2020

5. Solving distributed hybrid flowshop scheduling problems by a hybrid brain storm optimization algorithm;Hao;IEEE Access,2019

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4. On a bi-objective distributed permutation flow shop problem with batch processing machines;Flexible Services and Manufacturing Journal;2024-05-31

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