Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659553220 ISBN 13: 9783659553226
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 102,58
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. pp. 176.
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659553220 ISBN 13: 9783659553226
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 58,12
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
Editore: LAP LAMBERT Academic Publishing Jun 2014, 2014
ISBN 10: 3659553220 ISBN 13: 9783659553226
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 64,90
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659551821 ISBN 13: 9783659551826
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 71,90
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduced a hybrid optimization algorithm that integrates the merits of the ant colony optimization (ACO) and firefly algorithm (FA) that used to solve optimization problems. The methodology of the book is mainly focused on the original principle behind each of the two algorithms and their applications are discussed. Also we introduced new trend for hybridizing the ant colony optimization and the firefly algorithm to solve unconstrained optimization problems, constrained optimization problems and multi-objective optimization problems.
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659553220 ISBN 13: 9783659553226
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 71,90
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: LAP LAMBERT Academic Publishing Jun 2014, 2014
ISBN 10: 3659553220 ISBN 13: 9783659553226
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 71,90
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659553220 ISBN 13: 9783659553226
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 104,40
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 176 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659553220 ISBN 13: 9783659553226
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 109,01
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 176.