Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juni 2018
Genre:	Schulbücher
	Algorithm Analysis and Problem Complexity / Algorithms / Artificial Intelligence / C / Collaborative Filtering / Computer Communication Networks / Computer Engineering and Networks / computer hardware / Computer networking & communications / Computer organization / computer science / Computer Systems Organization and Communication Networks / Computerhardware / Computers / Data Mining / Image processing / Information Systems and Communication Service / Künstliche Intelligenz / motion planning / multi-agent systems / Netzwerk-Hardware / signal filtering and prediction / World Wide Web mehr...
ISBN:	9783319938172
EAN-Code:	9783319938172
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#10942 - Lecture Notes in Computer Science Theoretical Computer Science and General Issues
Dimensionen:	H 235 mm / B 155 mm / D 32 mm
Gewicht:	914 gr
Seiten:	579
Illustration:	XXIV, 579 p. 247 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections namely: multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; predication; classification; finding patterns; image enhancement; deep learning; theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization.