Evolutionary Algorithms in Intelligent Systems - Rilegato

Rilegato

ISBN 10: 3039436112 ISBN 13: 9783039436118

Casa editrice: MDPI AG, 2020

Riassunto

Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems.

Dettagli dell'edizione

• Editore: MDPI AG
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3039436112
• ISBN 13: 9783039436118
• Rilegatura: Copertina rigida
• Numero di pagine: 144
• Redattore: Milani Alfredo, Carpi Arturo, Poggioni Valentina
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile