Centripetal Accelerated Particle Swarm Optimization And Applications: CAPSO and its Applications in Machine Learning - Tapa blanda

Beheshti, Zahra; Shamsuddin, Siti Mariyam

 
9783639707076: Centripetal Accelerated Particle Swarm Optimization And Applications: CAPSO and its Applications in Machine Learning
Tapa blanda
ISBN 10: 3639707079 ISBN 13: 9783639707076
Editorial: Scholars' Press, 2014

Sinopsis

Nowadays, meta-heuristic optimization algorithms have been extensively applied to a variety of Machine Learning (ML). The majority of them imitate the behavior of natural phenomena to find the best solution. The algorithms find promising regions in an affordable time because of exploration and exploitation ability. Although the mentioned algorithms have satisfactory results in various fields, none of them is able to present a higher performance for all applications. Therefore, searching for a new meta-heuristic algorithm is an open problem. In this study, an improved particle swarm optimization (PSO) scheme combined with Newton’s laws of motion, the centripetal accelerated particle swarm optimization (CAPSO), is introduced. CAPSO accelerates the learning and convergence of ML problems. In addition, the binary mode of the proposed algorithm, binary centripetal accelerated particle swarm optimization (BCAPSO), is introduced for binary search spaces.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

Nowadays, meta-heuristic optimization algorithms have been extensively applied to a variety of Machine Learning (ML). The majority of them imitate the behavior of natural phenomena to find the best solution. The algorithms find promising regions in an affordable time because of exploration and exploitation ability. Although the mentioned algorithms have satisfactory results in various fields, none of them is able to present a higher performance for all applications. Therefore, searching for a new meta-heuristic algorithm is an open problem. In this study, an improved particle swarm optimization (PSO) scheme combined with Newton's laws of motion, the centripetal accelerated particle swarm optimization (CAPSO), is introduced. CAPSO accelerates the learning and convergence of ML problems. In addition, the binary mode of the proposed algorithm, binary centripetal accelerated particle swarm optimization (BCAPSO), is introduced for binary search spaces.

Biografía del autor

Dr. Zahra Beheshti received her BSc and MSc in Computer Engineering from Islamic Azad University Najafabad branch (IAUN), Iran and PhD in Artificial Intelligence from Universiti Teknologi Malaysia (UTM), Malaysia. Her current research interests include Artificial Intelligence and Soft Computing.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Scholars' Press
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3639707079
ISBN 13 
9783639707076
Encuadernación
Tapa blanda
Número de páginas
196
Contacto del fabricante
no disponible
Persona responsable
no disponible