蚁群优化：文献综述

IF 13.7 1区生物学 Q1 BIOLOGY

Physics of Life Reviews Pub Date : 2024-09-26 DOI:10.1016/j.plrev.2024.09.014

Christian Blum

{"title":"蚁群优化：文献综述","authors":"Christian Blum","doi":"10.1016/j.plrev.2024.09.014","DOIUrl":null,"url":null,"abstract":"<div><div>This paper is a follow-up of one of the most-cited articles published in the first 20 years of the existence of <em>Physics of Life Reviews</em>. The specific topic is “ant colony optimization”, which is a metaheuristic for solving challenging optimization problems. Due to its inspiration from natural ant colonies' shortest path-finding behavior, this optimization technique forms part of a larger field known as swarm intelligence. After a short introduction to ant colony optimization, we first provide a chronology focusing on algorithmic developments rather than applications. The main part of the paper deals with a bibliometric study of the ant colony optimization literature. Interesting trends concerning, for example, the geographic origin of publications and the change in research focus over time, can be learned from the presented graphs and numbers.</div></div>","PeriodicalId":403,"journal":{"name":"Physics of Life Reviews","volume":"51 ","pages":"Pages 87-95"},"PeriodicalIF":13.7000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ant colony optimization: A bibliometric review\",\"authors\":\"Christian Blum\",\"doi\":\"10.1016/j.plrev.2024.09.014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper is a follow-up of one of the most-cited articles published in the first 20 years of the existence of <em>Physics of Life Reviews</em>. The specific topic is “ant colony optimization”, which is a metaheuristic for solving challenging optimization problems. Due to its inspiration from natural ant colonies' shortest path-finding behavior, this optimization technique forms part of a larger field known as swarm intelligence. After a short introduction to ant colony optimization, we first provide a chronology focusing on algorithmic developments rather than applications. The main part of the paper deals with a bibliometric study of the ant colony optimization literature. Interesting trends concerning, for example, the geographic origin of publications and the change in research focus over time, can be learned from the presented graphs and numbers.</div></div>\",\"PeriodicalId\":403,\"journal\":{\"name\":\"Physics of Life Reviews\",\"volume\":\"51 \",\"pages\":\"Pages 87-95\"},\"PeriodicalIF\":13.7000,\"publicationDate\":\"2024-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physics of Life Reviews\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1571064524001258\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics of Life Reviews","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1571064524001258","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}

引用次数: 0

摘要

本文是《生命物理学评论》创刊 20 年来发表的被引用次数最多的文章之一的后续文章。具体主题是 "蚁群优化"，这是一种用于解决具有挑战性的优化问题的元启发式方法。由于其灵感来自于自然界蚁群的最短路径搜索行为，这种优化技术构成了一个更大领域的一部分，即 "蚁群智能"。在简要介绍了蚁群优化之后，我们首先提供了一份年表，重点介绍算法的发展而非应用。论文的主要部分是蚁群优化文献的文献计量学研究。从图表和数字中可以了解到一些有趣的趋势，例如出版物的地域来源和研究重点的变化。

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

Ant colony optimization: A bibliometric review

This paper is a follow-up of one of the most-cited articles published in the first 20 years of the existence of Physics of Life Reviews. The specific topic is “ant colony optimization”, which is a metaheuristic for solving challenging optimization problems. Due to its inspiration from natural ant colonies' shortest path-finding behavior, this optimization technique forms part of a larger field known as swarm intelligence. After a short introduction to ant colony optimization, we first provide a chronology focusing on algorithmic developments rather than applications. The main part of the paper deals with a bibliometric study of the ant colony optimization literature. Interesting trends concerning, for example, the geographic origin of publications and the change in research focus over time, can be learned from the presented graphs and numbers.

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

Physics of Life Reviews 生物-生物物理

CiteScore

20.30

自引率

14.50%

发文量

审稿时长

8 days

期刊介绍： Physics of Life Reviews, published quarterly, is an international journal dedicated to review articles on the physics of living systems, complex phenomena in biological systems, and related fields including artificial life, robotics, mathematical bio-semiotics, and artificial intelligent systems. Serving as a unifying force across disciplines, the journal explores living systems comprehensively—from molecules to populations, genetics to mind, and artificial systems modeling these phenomena. Inviting reviews from actively engaged researchers, the journal seeks broad, critical, and accessible contributions that address recent progress and sometimes controversial accounts in the field.