Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Mai 2018
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / B / Computational Intelligence / Computer modelling & simulation / computer science / Computer simulation / engineering / Engineering economics / Engineering Economics, Organization, Logistics, Marketing / Engineering economy / Engineering# general / Industrial Management / Management of specific areas / Mathematical optimization / Optimization / Simulation and Modeling
ISBN:	9783319845227
EAN-Code:	9783319845227
Verlag:	Springer Nature EN
Einband:	Kartoniert
Sprache:	English
Serie:	#10 - Modeling and Optimization in Science and Technologies
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	783 gr
Seiten:	494
Illustration:	XXI, 494 p. 191 illus., 43 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	Previously published in hardcover
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.