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Ant colony optimization and applications

Fidanova, Stefka.

Ant colony optimization and applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Ant colony optimization and applicationsby Stefka Fidanova.
Author:	Fidanova, Stefka.
Published:	Cham :Springer International Publishing :2021.
Description:	xiii, 125 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Ant algorithms.
Online resource:	https://doi.org/10.1007/978-3-030-67380-2
ISBN:	9783030673802$q(electronic bk.)

Ant colony optimization and applications
Fidanova, Stefka.

Ant colony optimization and applications[electronic resource] /by Stefka Fidanova. - Cham :Springer International Publishing :2021. - xiii, 125 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9471860-949X ;. - Studies in computational intelligence ;v. 216..

Introduction -- Ant Colony Optimization -- Multiple Knapsack Problem -- Grid Scheduling Problem -- ACO for GPS Surveying Problem -- ACO for E. coli Cultivation Model -- ACO for Wireless Sensor Network Positioning.

This book is interesting and full of new ideas. It provokes the curiosity of the readers. The book targets both researchers and practitioners. The students and the researchers will acquire knowledge about ant colony optimization and its possible applications as well as practitioners will find new ideas and solutions of their combinatorial optimization and decision-making problems. Ant colony optimization is between the best method for solving difficult optimization problems arising in real life and industry. It has obtained distinguished results on some applications with very restrictive constraints. The reader will find theoretical aspects of ant method as well as applications on a variety of problems. The following applications could be mentioned: multiple knapsack problem, which is an important economical problem; grid scheduling problem; GPS surveying problem; E. coli cultivation modeling; wireless sensor network positioning; image edges detection; workforce planning.

ISBN: 9783030673802$q(electronic bk.)

Standard No.: 10.1007/978-3-030-67380-2doiSubjects--Topical Terms:

490544
Ant algorithms.

LC Class. No.: QA402.5 / .F43 2021

Dewey Class. No.: 519.3

Ant colony optimization and applications
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245 1 0 $a Ant colony optimization and applications $h [electronic resource] / $c by Stefka Fidanova.
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505 0 $a Introduction -- Ant Colony Optimization -- Multiple Knapsack Problem -- Grid Scheduling Problem -- ACO for GPS Surveying Problem -- ACO for E. coli Cultivation Model -- ACO for Wireless Sensor Network Positioning.
520 $a This book is interesting and full of new ideas. It provokes the curiosity of the readers. The book targets both researchers and practitioners. The students and the researchers will acquire knowledge about ant colony optimization and its possible applications as well as practitioners will find new ideas and solutions of their combinatorial optimization and decision-making problems. Ant colony optimization is between the best method for solving difficult optimization problems arising in real life and industry. It has obtained distinguished results on some applications with very restrictive constraints. The reader will find theoretical aspects of ant method as well as applications on a variety of problems. The following applications could be mentioned: multiple knapsack problem, which is an important economical problem; grid scheduling problem; GPS surveying problem; E. coli cultivation modeling; wireless sensor network positioning; image edges detection; workforce planning.
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