On Multi-objective Optimization Based on Ant Colony Optimization
Masoud Rizk Allah, Rizk; Mousa, Abd Allah A.
ISBN 10: 3659553220 ISBN 13: 9783659553226
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
Nuovi
Brossura
Da
Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 4 su 5 stelle
Venditore AbeBooks dal 10 settembre 2024
Questo articolo specifico non è più disponibile.
Riguardo questo articolo
Descrizione:
PRINT ON DEMAND pp. 176. Codice articolo 18128185938
Riassunto:
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.
L'autore: Rizk 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 ,Menoufia University, since 2005. He is especially interested in swarm intelligence techniques,evolutionary algorithms and operations research.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Dati bibliografici
Titolo: On Multi-objective Optimization Based on Ant...
Casa editrice: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG
Data di pubblicazione: 2014
Legatura: Brossura
Condizione: New
I migliori risultati di ricerca su AbeBooks
Immagini fornite dal venditore
On Multi-objective Optimization Based on Ant Colony Optimization
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659553220
ISBN 13: 9783659553226
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 4 su 5 stelle
Condizione: 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. Codice articolo 5164378
Compra nuovo
EUR 58,12
EUR 48,99 shipping
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
On Multi-objective Optimization Based on Ant Colony Optimization | Developing an Ant Colony Optimization Algorithm for Engineering Applications
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659553220
ISBN 13: 9783659553226
Nuovo
Taschenbuch
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 105217323
Compra nuovo
EUR 60,45
EUR 70,00 shipping
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Immagini fornite dal venditore
On Multi-objective Optimization Based on Ant Colony Optimization
Editore:
LAP LAMBERT Academic Publishing Jun 2014, 2014
ISBN 10: 3659553220
ISBN 13: 9783659553226
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. 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. Codice articolo 9783659553226
Compra nuovo
EUR 71,90
EUR 60,00 shipping
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
On Multi-objective Optimization Based on Ant Colony Optimization : Developing an Ant Colony Optimization Algorithm for Engineering Applications
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659553220
ISBN 13: 9783659553226
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. 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. Codice articolo 9783659553226
Compra nuovo
EUR 71,90
EUR 61,40 shipping
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
On Multi-objective Optimization Based on Ant Colony Optimization
Editore:
LAP LAMBERT Academic Publishing Jun 2014, 2014
ISBN 10: 3659553220
ISBN 13: 9783659553226
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. 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. Codice articolo 9783659553226
Compra nuovo
EUR 71,90
EUR 23,00 shipping
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili