考虑碳排放和利润的多目标合作拆卸序列优化问题的改进型人工蜂群算法

IF 2.2 3区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Engineering Optimization Pub Date : 2024-04-04 DOI:10.1080/0305215x.2024.2329988

Zhaofang Chen, Hao Cheng, Yongfeng Liu, Mohammed Aljuaid

引用次数: 0

摘要

电子废弃物的拆解和回收对于实现剩余价值、降低碳排放和促进可持续发展至关重要。本文探讨了多目标...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An improved artificial bee colony algorithm for the multi-objective cooperative disassembly sequence optimization problem considering carbon emissions and profit

The disassembly and recycling of electronic waste are essential for realizing residual value, lowering carbon emissions and fostering sustainable development. This article addresses multi-objective...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

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.