On Multi-objective Optimization Based on Ant Colony Optimization
Masoud Rizk Allah, Rizk; Mousa, Abd Allah A.
ISBN 10: 3659553220 ISBN 13: 9783659553226
Verlag: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
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pp. 176. Bestandsnummer des Verkäufers 26128185944
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Ant Colony Optimization (ACO) is a meta-heuristic algorithm which has been successfully applied to tackle various combinatorial optimization problems, but its ability to cope with multi-objective optimization problems is yet to be explored widely. Since most real-world search and optimization problems are naturally posed as non-linear programming problems having multi-objective problems. Therefore, the principal goal of this work aims to implement a specialized version of the ant colony optimization algorithm capable of finding a set of solutions for multi-objective optimization problems. Features relevant to ant colony optimization include a highly efficient form of best-path exploitation (pheromone detection), and a sensible mechanism for exploration (probabilistic path selection). The results demonstrate superiority of the proposed algorithm and confirm its potential to solve the multi-objective problems and engineering applications.
Reseña del editor: Ant Colony Optimization (ACO) is a meta-heuristic algorithm which has been successfully applied to tackle various combinatorial optimization problems, but its ability to cope with multi-objective optimization problems is yet to be explored widely. Since most real-world search and optimization problems are naturally posed as non-linear programming problems having multi-objective problems. Therefore, the principal goal of this work aims to implement a specialized version of the ant colony optimization algorithm capable of finding a set of solutions for multi-objective optimization problems. Features relevant to ant colony optimization include a highly efficient form of best-path exploitation (pheromone detection), and a sensible mechanism for exploration (probabilistic path selection). The results demonstrate superiority of the proposed algorithm and confirm its potential to solve the multi-objective problems and engineering applications.
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Titel: On Multi-objective Optimization Based on Ant...
Verlag: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG
Erscheinungsdatum: 2014
Einband: Softcover
Zustand: New
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On Multi-objective Optimization Based on Ant Colony Optimization
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659553220
ISBN 13: 9783659553226
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Masoud Rizk Allah RizkRizk M. Rizk Allah obtained his Ph.D in Engineering Mathematics from Faculty of Engineering ,Menoufia University, Egypt. He has been with the Basic Engineering Sciences Department, Faculty of Engineering ,Menouf. Bestandsnummer des Verkäufers 5164378
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On Multi-objective Optimization Based on Ant Colony Optimization | Developing an Ant Colony Optimization Algorithm for Engineering Applications
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659553220
ISBN 13: 9783659553226
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Taschenbuch. Zustand: Neu. On Multi-objective Optimization Based on Ant Colony Optimization | Developing an Ant Colony Optimization Algorithm for Engineering Applications | Rizk Masoud Rizk Allah (u. a.) | Taschenbuch | 176 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659553226 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 105217323
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On Multi-objective Optimization Based on Ant Colony Optimization
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LAP LAMBERT Academic Publishing Jun 2014, 2014
ISBN 10: 3659553220
ISBN 13: 9783659553226
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Ant Colony Optimization (ACO) is a meta-heuristic algorithm which has been successfully applied to tackle various combinatorial optimization problems, but its ability to cope with multi-objective optimization problems is yet to be explored widely. Since most real-world search and optimization problems are naturally posed as non-linear programming problems having multi-objective problems. Therefore, the principal goal of this work aims to implement a specialized version of the ant colony optimization algorithm capable of finding a set of solutions for multi-objective optimization problems. Features relevant to ant colony optimization include a highly efficient form of best-path exploitation (pheromone detection), and a sensible mechanism for exploration (probabilistic path selection). The results demonstrate superiority of the proposed algorithm and confirm its potential to solve the multi-objective problems and engineering applications.Books on Demand GmbH, Überseering 33, 22297 Hamburg 176 pp. Englisch. Bestandsnummer des Verkäufers 9783659553226
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On Multi-objective Optimization Based on Ant Colony Optimization
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LAP LAMBERT Academic Publishing Jun 2014, 2014
ISBN 10: 3659553220
ISBN 13: 9783659553226
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Ant Colony Optimization (ACO) is a meta-heuristic algorithm which has been successfully applied to tackle various combinatorial optimization problems, but its ability to cope with multi-objective optimization problems is yet to be explored widely. Since most real-world search and optimization problems are naturally posed as non-linear programming problems having multi-objective problems. Therefore, the principal goal of this work aims to implement a specialized version of the ant colony optimization algorithm capable of finding a set of solutions for multi-objective optimization problems. Features relevant to ant colony optimization include a highly efficient form of best-path exploitation (pheromone detection), and a sensible mechanism for exploration (probabilistic path selection). The results demonstrate superiority of the proposed algorithm and confirm its potential to solve the multi-objective problems and engineering applications. 176 pp. Englisch. Bestandsnummer des Verkäufers 9783659553226
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On Multi-objective Optimization Based on Ant Colony Optimization : Developing an Ant Colony Optimization Algorithm for Engineering Applications
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659553220
ISBN 13: 9783659553226
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Ant Colony Optimization (ACO) is a meta-heuristic algorithm which has been successfully applied to tackle various combinatorial optimization problems, but its ability to cope with multi-objective optimization problems is yet to be explored widely. Since most real-world search and optimization problems are naturally posed as non-linear programming problems having multi-objective problems. Therefore, the principal goal of this work aims to implement a specialized version of the ant colony optimization algorithm capable of finding a set of solutions for multi-objective optimization problems. Features relevant to ant colony optimization include a highly efficient form of best-path exploitation (pheromone detection), and a sensible mechanism for exploration (probabilistic path selection). The results demonstrate superiority of the proposed algorithm and confirm its potential to solve the multi-objective problems and engineering applications. Bestandsnummer des Verkäufers 9783659553226
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