用于多机器人路径规划的改进型鲸鱼优化算法

IF 2.2 3区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Engineering Optimization Pub Date : 2024-09-02 DOI:10.1080/0305215x.2024.2366484

Yijun Shao, Liangkuan Zhu, Chunyu Su, Jingyu Wang

引用次数: 0

摘要

多机器人路径规划是一项具有挑战性的工作，随着其广泛应用，已日益引起人们的关注。本文提出了一种改进的鲸鱼优化算法（WOA），该算法具有折射功能。

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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An improved whale optimization algorithm for multi-robot path planning

Multi-robot path planning is challenging and has increasingly attracted attention with its widespread applications. This article proposes an improved Whale Optimization Algorithm (WOA) with Refract...

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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.