A Two-Individual-Based Evolutionary Algorithm for Flexible Assembly Job Shop Scheduling Problem with Uncertain Interval Processing Times

A Two-Individual-Based Evolutionary Algorithm for Flexible Assembly Job Shop Scheduling Problem with Uncertain Interval Processing Times

The assembly job shop is a prevalent production organization mode in manufacturing enterprises. During the processing and assembly of products, operation processing times are influenced by numerous factors, leading to significant uncertainty. This paper investigates the flexible assembly job shop sc...

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Bibliographic Details
Main Authors: Peng Zheng, Shichang Xiao, Peng Zhang, Youlong Lv
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
flexible assembly job shop scheduling
interval number
robust optimization
master–apprentice evolutionary algorithm
Online Access:https://www.mdpi.com/2076-3417/14/22/10304
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