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Ant colony optimization: A bibliometric review.
Blum, Christian.
Afiliação
  • Blum C; Artificial Intelligence Research Institute (IIIA-CSIC), Campus of the UAB, Bellaterra, 08193, Barcelona, Spain. Electronic address: christian.blum@iiia.csic.es.
Phys Life Rev ; 51: 87-95, 2024 Sep 26.
Article em En | MEDLINE | ID: mdl-39341089
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Life Rev Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Life Rev Ano de publicação: 2024 Tipo de documento: Article