Advances in Particle Swarm Optimization - May Church - Libros - States Academic Press - 9781639890248 - 1 de marzo de 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.

Medios de comunicación Libros     Hardcover Book   (Libro con lomo y cubierta duros)
Publicado 1 de marzo de 2022
ISBN13 9781639890248
Editores States Academic Press
Páginas 242
Dimensiones 152 × 229 × 14 mm   ·   494 g
Lengua English