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Applications of ant colony optimization and its variantscase studies and new developments /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applications of ant colony optimization and its variantsedited by Nilanjan Dey.
其他題名:	case studies and new developments /
其他作者:	Dey, Nilanjan.
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	ix, 229 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Ant algorithms.
電子資源:	https://doi.org/10.1007/978-981-99-7227-2
ISBN:	9789819972272$q(electronic bk.)

Applications of ant colony optimization and its variantscase studies and new developments /
Applications of ant colony optimization and its variantscase studies and new developments /[electronic resource] :edited by Nilanjan Dey. - Singapore :Springer Nature Singapore :2024. - ix, 229 p. :ill. (chiefly col.), digital ;24 cm. - Springer tracts in nature-inspired computing,2524-5538. - Springer tracts in nature-inspired computing..

Ant Colony Optimization -- Advancements in Rank-based Ant System -- Exploring Ant Colony Optimization for Feature Selection: A Comprehensive Review -- Diagnosis Support for Diabetes with Ant Colony Optimization -- Opposed Pheromones Ant Colony Optimization for Property Identification of Nonlinear Structures.

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.

ISBN: 9789819972272$q(electronic bk.)

Standard No.: 10.1007/978-981-99-7227-2doiSubjects--Topical Terms:

490544
Ant algorithms.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Applications of ant colony optimization and its variantscase studies and new developments /
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520 $a 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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