Advances in Particle Swarm Optimization - May Church - Livres - States Academic Press - 9781639890248 - 1 mars 2022
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Advances in Particle Swarm Optimization

May Church

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Advances in Particle Swarm Optimization

Particle swarm optimization can be defined as a computational method that is used to optimize a problem by iteratively trying to improve a candidate solution with respect to a given measure of quality. It is deployed to solve a problem by having a population of candidate solutions and moving them around in the search-space in accordance with simple mathematical formulae over the particle's position and velocity. Particle swarm optimization can search very large spaces of candidate solutions because it is metaheuristic and does not make any assumptions about the problem being optimized. There are various variants of particle swamp optimization such as hybridization, simplifications, multi-objective optimization, and binary, discrete, and combinational particle swamp optimization. This book elucidates the concepts and innovative models around prospective developments in relation to particle swarm optimization. Different approaches, evaluations, methodologies, and advanced studies on this topic have been included in it. This book will serve as a reference to a broad spectrum of readers.

Médias Livres     Hardcover Book   (Livre avec dos et couverture rigide)
Validé 1 mars 2022
ISBN13 9781639890248
Éditeurs States Academic Press
Pages 242
Dimensions 152 × 229 × 14 mm   ·   494 g
Langue et grammaire English