Shape and size optimization of truss structure by means of improved artificial rabbits optimization algorithm

IF 2.2 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Engineering Optimization Pub Date : 2024-02-12 DOI:10.1080/0305215x.2024.2308577
Seyedeh Ladan SeyedOskouei, Reza Sojoudizadeh, Reza Milanchian, Hadi Azizian
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Abstract

The main aim of this article is to use a new metaheuristic algorithm for the optimum design of truss structures. The artificial rabbits optimization (ARO) algorithm is used, in which rabbits’ natur...
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通过改进的人工兔优化算法优化桁架结构的形状和尺寸
本文的主要目的是使用一种新的元启发式算法来优化桁架结构设计。该算法采用了人工兔子优化(ARO)算法,其中兔子的天性是...
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来源期刊
Engineering Optimization
Engineering Optimization 管理科学-工程:综合
CiteScore
5.90
自引率
7.40%
发文量
74
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.
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