Applications of Ant Colony Optimization and its Variants
Case Studies and New Developments
Springer Nature Singapore
ISBN 9789819972272
Standardpreis
Bibliografische Daten
eBook. PDF
2024
IX, 229 p. 87 illus., 68 illus. in color..
In englischer Sprache
Umfang: 229 S.
Verlag: Springer Nature Singapore
ISBN: 9789819972272
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Springer Tracts in Nature-Inspired Computing
Produktbeschreibung
This book explains the basic ideas behind several variants of ant colony optimization (ACO) and shows how they may be used in real-world settings like manufacturing, engineering design, and health care. Marco Dorigo proposed ACO for the first time, and it has been used to solve a variety of optimization problems. This book presents the latest developments of ACO.
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