Ant colony optimization and applications

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Titel
Ant colony optimization and applications
verantwortlich
Fidanova, Stefka (VerfasserIn)
Schriftenreihe
Studies in computational intelligence ; Volume 947
veröffentlicht
Cham, Switzerland: Springer, [2021]
Erscheinungsjahr
2021
Teil von
Studies in computational intelligence ; Volume 947
Medientyp
Buch
Datenquelle
British Library Catalogue
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300 |a xiii, 125 pages :  |b illustrations (black and white, and colour) ;  |c 25 cm. 
490 0 |a Studies in computational intelligence  |x 1860-949X ;  |v Volume 947 
500 |a "ISSN 1860-9503 (electronic)"--title page verso. 
530 |a Also published electronically. 
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. 
504 |a Includes bibliographical references. 
540 |a Current copyright fee: GBP19.00  |c 42\0  |5 Uk 
650 0 |a Computational intelligence. 
650 0 |a Engineering  |x Data processing. 
650 0 |a Artificial intelligence. 
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650 7 |a Computational intelligence.  |2 fast  |0 (OCoLC)fst00871995 
650 7 |a Engineering  |x Data processing.  |2 fast  |0 (OCoLC)fst00910334 
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contents 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.
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spelling Fidanova, Stefka 1964- author., Ant colony optimization and applications Stefka Fidanova, Cham, Switzerland Springer [2021], xiii, 125 pages : illustrations (black and white, and colour) ; 25 cm., Studies in computational intelligence 1860-949X ; Volume 947, "ISSN 1860-9503 (electronic)"--title page verso., Also published electronically., 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., Includes bibliographical references., Current copyright fee: GBP19.00 42\0 Uk, Computational intelligence., Engineering Data processing., Artificial intelligence., Artificial intelligence. fast (OCoLC)fst00817247, Computational intelligence. fast (OCoLC)fst00871995, Engineering Data processing. fast (OCoLC)fst00910334, 1850-9999 http://link.springer.com/ BLDSS
spellingShingle Fidanova, Stefka, Ant colony optimization and applications, 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., Computational intelligence., Engineering Data processing., Artificial intelligence.
title Ant colony optimization and applications
title_auth Ant colony optimization and applications
title_full Ant colony optimization and applications Stefka Fidanova
title_fullStr Ant colony optimization and applications Stefka Fidanova
title_full_unstemmed Ant colony optimization and applications Stefka Fidanova
title_short Ant colony optimization and applications
title_sort ant colony optimization and applications
topic Computational intelligence., Engineering Data processing., Artificial intelligence.
topic_facet Computational intelligence., Engineering, Artificial intelligence., Data processing.