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Ant colony optimization and applications

Fidanova, Stefka.

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Ant colony optimization and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Ant colony optimization and applications/ by Stefka Fidanova.
作者:	Fidanova, Stefka.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xiii, 125 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Ant algorithms. -
電子資源:	https://doi.org/10.1007/978-3-030-67380-2
ISBN:	9783030673802

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.947..

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

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

3378285
Ant algorithms.

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

Dewey Class. No.: 519.3

Ant colony optimization and applications
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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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