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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Zhenggang Liu, Xu Liang, Lingyan Hou, Dali Yang, Qiang Tong
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2023-01-01
Sarja:	IEEE Access
Aiheet:	Fuzzy flexible job shop scheduling evolutionary algorithm multi-objective optimization dynamic evolution variable neighborhood search
Linkit:	https://ieeexplore.ieee.org/document/10138586/
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