Multi-Strategy Dynamic Evolution-Based Improved MOEA/D Algorithm for Solving Multi-Objective Fuzzy Flexible Job Shop Scheduling Problem

A scheduling model was developed to optimize the maximum completion time, total machine load, and maximum machine load for the fuzzy flexible job shop problem with uncertain processing times. To solve this problem, a multi-strategy dynamic evolution-based improved multi-objective evolutionary algori...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Zhenggang Liu, Xu Liang, Lingyan Hou, Dali Yang, Qiang Tong
Format: Article
Language:English
Published: IEEE 2023-01-01
Subjects:
Fuzzy flexible job shop scheduling
evolutionary algorithm
multi-objective optimization
dynamic evolution
variable neighborhood search
Online Access:https://ieeexplore.ieee.org/document/10138586/

Internet

https://ieeexplore.ieee.org/document/10138586/

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