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Applications of ant colony optimization and its variants = case studies and new developments /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications of ant colony optimization and its variants/ edited by Nilanjan Dey.
Reminder of title:	case studies and new developments /
other author:	Dey, Nilanjan.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	ix, 229 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Ant algorithms. -
Online resource:	https://doi.org/10.1007/978-981-99-7227-2
ISBN:	9789819972272

Applications of ant colony optimization and its variants = case 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

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

3378285
Ant algorithms.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Applications of ant colony optimization and its variants = case 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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