An effective multi-stage evolutionary algorithm for distributed scheduling with splitting jobs in heterogeneous factories

IF 2.2 3区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Engineering Optimization Pub Date : 2024-08-07 DOI:10.1080/0305215x.2024.2332795

Xin Guo, Qianwang Deng, Qiang Luo, Guanhua Xie

引用次数: 0

Abstract

This article examines an alliance of heterogeneous factories operating as a production network, in which jobs can be divided into several sub-jobs and independently processed in distributed factori...

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一种有效的多阶段进化算法，用于异构工厂中带有分工作业的分布式调度

本文研究了一个作为生产网络运行的异构工厂联盟，在该联盟中，工作可被划分为多个子工作，并在分布式工厂中独立处理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Engineering Optimization 管理科学-工程：综合

CiteScore

5.90

自引率

7.40%

发文量

审稿时长

3.5 months

期刊介绍： Engineering Optimization is an interdisciplinary engineering journal which serves the large technical community concerned with quantitative computational methods of optimization, and their application to engineering planning, design, manufacture and operational processes. The policy of the journal treats optimization as any formalized numerical process for improvement. Algorithms for numerical optimization are therefore mainstream for the journal, but equally welcome are papers which use the methods of operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, artificial intelligence, information theory and processing, and all methods which can be used in the quantitative modelling of the decision-making process. Innovation in optimization is an essential attribute of all papers but engineering applicability is equally vital. Engineering Optimization aims to cover all disciplines within the engineering community though its main focus is in the areas of environmental, civil, mechanical, aerospace and manufacturing engineering. Papers on both research aspects and practical industrial implementations are welcomed.