Local Search Enhanced Multi-Objective Evolutionary Algorithm for Fuzzy Flexible Job Shop Scheduling-Reference-Cited by-同舟云学术

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Local Search Enhanced Multi-Objective Evolutionary Algorithm for Fuzzy Flexible Job Shop Scheduling

Published:2023-12-05 Issue: Volume: Page:457-462
ISSN:
Container-title:2023 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Zhang Xuwei¹,Zhao Ziyan¹,Liu Shixin¹

Affiliation:

1. College of Information Science and Engineering, Northeastern University,The State Key Laboratory of Synthetical Automation for Process Industries,Shenyang,China,110819

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10371778/10371788/10371803.pdf?arnumber=10371803

Reference36 articles.

1. A hybrid biogeography-based optimization for the fuzzy flexible job-shop scheduling problem

2. Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time

3. A genetic algorithm for flexible job shop scheduling with fuzzy processing time

4. Co-evolutionary genetic algorithm for fuzzy flexible job shop scheduling

5. Backtracking search based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time

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