Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2019
Genre:	Naturwissensch., Medizin, Technik
	C / Computational Intelligence / Decision Making / engineering / Evolutionary Optimization Algorithms / machine learning / Management decision making / Management# Entscheidungstheorie / Maschinelles Lernen / Operational research / Operations Research / Operations Research and Decision Theory / Operations Research/Decision Theory / Performance of Genetic Algorithms / PSO Algorithm / Unternehmensforschung mehr...
ISBN:	9783030248345
EAN-Code:	9783030248345
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	SpringerBriefs in Applied Sciences and Technology SpringerBriefs in Computational Intelligence
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	131 gr
Seiten:	58
Illustration:	XI, 58 p. 26 illus., 25 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.