Muhammad Rashid: Optimization - The Bee's Way : A new swarm intelligence framework for unimodal, multimodal and dynamic optimization problems - Taschenbuch
[EAN: 9783843358347], Neubuch, [SC: 0.0], [PU: LAP Lambert Academic Publishing], Druck auf Anfrage Neuware - Swarm intelligence algorithms are taking the spotlight in the field of functio… Mehr…
[EAN: 9783843358347], Neubuch, [SC: 0.0], [PU: LAP Lambert Academic Publishing], Druck auf Anfrage Neuware - Swarm intelligence algorithms are taking the spotlight in the field of function optimization. In this book our attention centers on a new framework inspired from the food foraging behavior of honey bees. Utilizing the Particle Swarm Optimization (PSO) algorithm within this framework we have developed a novel algorithm called Honey Bee Foraging Particle Swarm Optimization (HBF-PSO). The HBF-PSO algorithm and its variants are suitable for solving multimodal and dynamic optimization problems. We focus on the niching and speciation capabilities of these algorithms which allow them to locate and track multiple peaks in multimodal and dynamic environments. The HBF-PSO algorithm performs a collective foraging for fitness in promising neighborhoods in combination with individual scouting searches in other areas. The strength of the algorithm lies in its continuous monitoring of the whole scouting and foraging process with dynamic relocation of the bees (solution/particles) if more promising regions are found. Those looking for a novel approach to function optimization utilizing the food foraging behavior of honey bees can benefit from the information presented in this book. 144 pp. Englisch, Books<
[EAN: 9783843358347], Neubuch, [PU: LAP Lambert Academic Publishing, Germany], Language: English. Brand new Book. Swarm intelligence algorithms are taking the spotlight in the field of fu… Mehr…
[EAN: 9783843358347], Neubuch, [PU: LAP Lambert Academic Publishing, Germany], Language: English. Brand new Book. Swarm intelligence algorithms are taking the spotlight in the field of function optimization. In this book our attention centers on a new framework inspired from the food foraging behavior of honey bees. Utilizing the Particle Swarm Optimization (PSO) algorithm within this framework we have developed a novel algorithm called Honey Bee Foraging Particle Swarm Optimization (HBF-PSO). The HBF-PSO algorithm and its variants are suitable for solving multimodal and dynamic optimization problems. We focus on the niching and speciation capabilities of these algorithms which allow them to locate and track multiple peaks in multimodal and dynamic environments. The HBF-PSO algorithm performs a collective foraging for fitness in promising neighborhoods in combination with individual scouting searches in other areas. The strength of the algorithm lies in its continuous monitoring of the whole scouting and foraging process with dynamic relocation of the bees (solution/particles) if more promising regions are found. Those looking for a novel approach to function optimization utilizing the food foraging behavior of honey bees can benefit from the information presented in this book., Books<
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Swarm intelligence algorithms are taking the spotlight in the field of function optimization. In this book our attention centers on a new framework inspired from the food foraging behavio… Mehr…
Swarm intelligence algorithms are taking the spotlight in the field of function optimization. In this book our attention centers on a new framework inspired from the food foraging behavior of honey bees. Utilizing the Particle Swarm Optimization (PSO) algorithm within this framework we have developed a novel algorithm called Honey Bee Foraging Particle Swarm Optimization (HBF-PSO). The HBF-PSO algorithm and its variants are suitable for solving multimodal and dynamic optimization problems. We focus on the niching and speciation capabilities of these algorithms which allow them to locate and track multiple peaks in multimodal and dynamic environments. The HBF-PSO algorithm performs a collective foraging for fitness in promising neighborhoods in combination with individual scouting searches in other areas. The strength of the algorithm lies in its continuous monitoring of the whole scouting and foraging process with dynamic relocation of the bees (solution/particles) if more promising regions are found. Those looking for a novel approach to function optimization utilizing the food foraging behavior of honey bees can benefit from the information presented in this book. Bücher, Hörbücher & Kalender / Bücher / Sachbuch / Computer & IT / Informatik<
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[ED: Kartoniert / Broschiert], [PU: LAP LAMBERT Academic Publishing], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rashi… Mehr…
[ED: Kartoniert / Broschiert], [PU: LAP LAMBERT Academic Publishing], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rashid MuhammadMuhammad Rashid has a PhD in Computer Science from National University, Islamabad, Pakistan and is currently an Assistant Professo, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Taschenbuch, 144, [GW: 233g], 1. Auflage, Banküberweisung, PayPal<
Rashid, Muhammad; Rauf Baig, Abdul: Optimization - The Bee''s Way A new swarm intelligence framework for unimodal, multimodal and dynamic optimization problems - neues Buch
[EAN: 9783843358347], Neubuch, [SC: 0.0], [PU: LAP Lambert Academic Publishing], Druck auf Anfrage Neuware - Swarm intelligence algorithms are taking the spotlight in the field of functio… Mehr…
[EAN: 9783843358347], Neubuch, [SC: 0.0], [PU: LAP Lambert Academic Publishing], Druck auf Anfrage Neuware - Swarm intelligence algorithms are taking the spotlight in the field of function optimization. In this book our attention centers on a new framework inspired from the food foraging behavior of honey bees. Utilizing the Particle Swarm Optimization (PSO) algorithm within this framework we have developed a novel algorithm called Honey Bee Foraging Particle Swarm Optimization (HBF-PSO). The HBF-PSO algorithm and its variants are suitable for solving multimodal and dynamic optimization problems. We focus on the niching and speciation capabilities of these algorithms which allow them to locate and track multiple peaks in multimodal and dynamic environments. The HBF-PSO algorithm performs a collective foraging for fitness in promising neighborhoods in combination with individual scouting searches in other areas. The strength of the algorithm lies in its continuous monitoring of the whole scouting and foraging process with dynamic relocation of the bees (solution/particles) if more promising regions are found. Those looking for a novel approach to function optimization utilizing the food foraging behavior of honey bees can benefit from the information presented in this book. 144 pp. Englisch, Books<
[EAN: 9783843358347], Neubuch, [PU: LAP Lambert Academic Publishing, Germany], Language: English. Brand new Book. Swarm intelligence algorithms are taking the spotlight in the field of fu… Mehr…
[EAN: 9783843358347], Neubuch, [PU: LAP Lambert Academic Publishing, Germany], Language: English. Brand new Book. Swarm intelligence algorithms are taking the spotlight in the field of function optimization. In this book our attention centers on a new framework inspired from the food foraging behavior of honey bees. Utilizing the Particle Swarm Optimization (PSO) algorithm within this framework we have developed a novel algorithm called Honey Bee Foraging Particle Swarm Optimization (HBF-PSO). The HBF-PSO algorithm and its variants are suitable for solving multimodal and dynamic optimization problems. We focus on the niching and speciation capabilities of these algorithms which allow them to locate and track multiple peaks in multimodal and dynamic environments. The HBF-PSO algorithm performs a collective foraging for fitness in promising neighborhoods in combination with individual scouting searches in other areas. The strength of the algorithm lies in its continuous monitoring of the whole scouting and foraging process with dynamic relocation of the bees (solution/particles) if more promising regions are found. Those looking for a novel approach to function optimization utilizing the food foraging behavior of honey bees can benefit from the information presented in this book., Books<
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Swarm intelligence algorithms are taking the spotlight in the field of function optimization. In this book our attention centers on a new framework inspired from the food foraging behavio… Mehr…
Swarm intelligence algorithms are taking the spotlight in the field of function optimization. In this book our attention centers on a new framework inspired from the food foraging behavior of honey bees. Utilizing the Particle Swarm Optimization (PSO) algorithm within this framework we have developed a novel algorithm called Honey Bee Foraging Particle Swarm Optimization (HBF-PSO). The HBF-PSO algorithm and its variants are suitable for solving multimodal and dynamic optimization problems. We focus on the niching and speciation capabilities of these algorithms which allow them to locate and track multiple peaks in multimodal and dynamic environments. The HBF-PSO algorithm performs a collective foraging for fitness in promising neighborhoods in combination with individual scouting searches in other areas. The strength of the algorithm lies in its continuous monitoring of the whole scouting and foraging process with dynamic relocation of the bees (solution/particles) if more promising regions are found. Those looking for a novel approach to function optimization utilizing the food foraging behavior of honey bees can benefit from the information presented in this book. Bücher, Hörbücher & Kalender / Bücher / Sachbuch / Computer & IT / Informatik<
Nr. K5O04QCG3F0. Versandkosten:, Lieferzeit: 5 Tage, DE. (EUR 0.00)
[ED: Kartoniert / Broschiert], [PU: LAP LAMBERT Academic Publishing], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rashi… Mehr…
[ED: Kartoniert / Broschiert], [PU: LAP LAMBERT Academic Publishing], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rashid MuhammadMuhammad Rashid has a PhD in Computer Science from National University, Islamabad, Pakistan and is currently an Assistant Professo, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Taschenbuch, 144, [GW: 233g], 1. Auflage, Banküberweisung, PayPal<
Rashid, Muhammad; Rauf Baig, Abdul: Optimization - The Bee''s Way A new swarm intelligence framework for unimodal, multimodal and dynamic optimization problems - neues Buch
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Swarm intelligence algorithms are taking the spotlight in the field of function optimization. In this book our attention centers on a new framework inspired from the food foraging behavior of honey bees. Utilizing the Particle Swarm Optimization (PSO) algorithm within this framework we have developed a novel algorithm called Honey Bee Foraging Particle Swarm Optimization (HBF-PSO). The HBF-PSO algorithm and its variants are suitable for solving multimodal and dynamic optimization problems. We focus on the niching and speciation capabilities of these algorithms which allow them to locate and track multiple peaks in multimodal and dynamic environments. The HBF-PSO algorithm performs a collective foraging for fitness in promising neighborhoods in combination with individual scouting searches in other areas. The strength of the algorithm lies in its continuous monitoring of the whole scouting and foraging process with dynamic relocation of the bees (solution/particles) if more promising regions are found. Those looking for a novel approach to function optimization utilizing the food foraging behavior of honey bees can benefit from the information presented in this book.
Detailangaben zum Buch - Optimization - The Bee's Way
EAN (ISBN-13): 9783843358347 ISBN (ISBN-10): 3843358346 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2010 Herausgeber: LAP Lambert Acad. Publ. 144 Seiten Gewicht: 0,230 kg Sprache: eng/Englisch
Buch in der Datenbank seit 2009-07-20T23:16:49+02:00 (Berlin) Detailseite zuletzt geändert am 2023-05-27T14:16:07+02:00 (Berlin) ISBN/EAN: 3843358346
ISBN - alternative Schreibweisen: 3-8433-5834-6, 978-3-8433-5834-7 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: rauf abdul
