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In den WarenkorbZustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Verlag: Berlin ; Heidelberg : Springer, 2010
ISBN 10: 3642051642 ISBN 13: 9783642051647
Sprache: Englisch
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In den WarenkorbOPp., gebundene Ausgabe. Zustand: Gut. XXI, 207 S. : graph. Darst. ; 24 cm, Einband leicht berieben, ansonsten gut erh. ISBN: 9783642051647 Sprache: Englisch Gewicht in Gramm: 620.
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In den WarenkorbZustand: New. pp. 240.
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In den WarenkorbZustand: New. pp. 232.
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In den WarenkorbHardcover. Zustand: Très bon. Edition 2023. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Edition 2023. Ammareal gives back up to 15% of this item's net price to charity organizations.
Verlag: Springer Berlin Heidelberg, 2009
ISBN 10: 3642051642 ISBN 13: 9783642051647
Sprache: Englisch
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In den WarenkorbZustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2009, 2009
ISBN 10: 3642051642 ISBN 13: 9783642051647
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware -multi-objective problems is an emergent research area.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch.
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Verlag: Springer Berlin Heidelberg, 2012
ISBN 10: 3642261515 ISBN 13: 9783642261510
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The editors of this volume, Nadia Nedjah, Leandro dos Santos Coelho and Luiza de Macedo Mourelle, have done a superb job of assembling some of the most innovative and intriguing applications and additions to the methodology and theory of multi-objective swarm intelligence - the immitationof social swarms behaviors for the solution of optimization problems with respect tomany criteria.
Verlag: Springer Berlin Heidelberg, 2009
ISBN 10: 3642051642 ISBN 13: 9783642051647
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The editors of this volume, Nadia Nedjah, Leandro dos Santos Coelho and Luiza de Macedo Mourelle, have done a superb job of assembling some of the most innovative and intriguing applications and additions to the methodology and theory of multi-objective swarm intelligence - the immitationof social swarms behaviors for the solution of optimization problems with respect tomany criteria.
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In den WarenkorbPaperback. Zustand: Brand New. 2010 edition. 240 pages. 9.25x6.10x0.54 inches. In Stock.
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Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2006, 2006
ISBN 10: 3540338683 ISBN 13: 9783540338680
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware -Swarm intelligence is an innovative computational way to solving hard pr- lems. This discipline is inspired by the behavior of social insects such as sh schools and bird ocks and colonies of ants, termites, bees and wasps. In g- eral, this is done by mimicking the behavior of the biological creatures within their swarms and colonies. Particle swarm optimization, also commonly known as PSO, mimics the behaviorofaswarmofinsectsoraschoolof sh.Ifoneoftheparticlediscovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensionalspacethathavetwocharacteristics:apositionandavelocity. Theseparticleswanderaroundthehyperspaceandrememberthebestposition that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions. The ant colony optimization, commonly known as ACO, is a probabilistic technique for solving computational hard problems which can be reduced to ndingoptimalpaths.ACOisinspiredbythebehaviorofantsin ndingshort paths from the colony nest to the food place. Ants have small brains and bad vision yet they use great search strategy. Initially, real ants wander randomly to nd food. They return to their colony while laying down pheromone trails. If other ants nd such a path, they are likely to follow the trail with some pheromone and deposit more pheromone if they eventually nd food.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch.
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2010
ISBN 10: 3642070418 ISBN 13: 9783642070419
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Swarm intelligence is an innovative computational way to solving hard pr- lems. This discipline is inspired by the behavior of social insects such as sh schools and bird ocks and colonies of ants, termites, bees and wasps. In g- eral, this is done by mimicking the behavior of the biological creatures within their swarms and colonies. Particle swarm optimization, also commonly known as PSO, mimics the behaviorofaswarmofinsectsoraschoolof sh.Ifoneoftheparticlediscovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensionalspacethathavetwocharacteristics:apositionandavelocity. Theseparticleswanderaroundthehyperspaceandrememberthebestposition that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions. The ant colony optimization, commonly known as ACO, is a probabilistic technique for solving computational hard problems which can be reduced to ndingoptimalpaths.ACOisinspiredbythebehaviorofantsin ndingshort paths from the colony nest to the food place. Ants have small brains and bad vision yet they use great search strategy. Initially, real ants wander randomly to nd food. They return to their colony while laying down pheromone trails. If other ants nd such a path, they are likely to follow the trail with some pheromone and deposit more pheromone if they eventually nd food.
Verlag: Springer Berlin Heidelberg, 2006
ISBN 10: 3540338683 ISBN 13: 9783540338680
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 160,49
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Swarm intelligence is an innovative computational way to solving hard pr- lems. This discipline is inspired by the behavior of social insects such as sh schools and bird ocks and colonies of ants, termites, bees and wasps. In g- eral, this is done by mimicking the behavior of the biological creatures within their swarms and colonies. Particle swarm optimization, also commonly known as PSO, mimics the behaviorofaswarmofinsectsoraschoolof sh.Ifoneoftheparticlediscovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensionalspacethathavetwocharacteristics:apositionandavelocity. Theseparticleswanderaroundthehyperspaceandrememberthebestposition that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions. The ant colony optimization, commonly known as ACO, is a probabilistic technique for solving computational hard problems which can be reduced to ndingoptimalpaths.ACOisinspiredbythebehaviorofantsin ndingshort paths from the colony nest to the food place. Ants have small brains and bad vision yet they use great search strategy. Initially, real ants wander randomly to nd food. They return to their colony while laying down pheromone trails. If other ants nd such a path, they are likely to follow the trail with some pheromone and deposit more pheromone if they eventually nd food.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 231,92
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In den WarenkorbPaperback. Zustand: Brand New. 206 pages. 9.25x6.10x0.47 inches. In Stock.