Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2016
Genre:	Schulbücher
	Algorithm Analysis and Problem Complexity / Algorithms / Architecture, Computer / Artificial Intelligence / C / Computer architecture & logic design / computer science / Computer science—Mathematics / Computer System Implementation / Discrete Mathematics / Discrete Mathematics in Computer Science / Diskrete Mathematik / Expert systems / knowledge-based systems / Künstliche Intelligenz / Mathematik für Informatiker / Maths for computer scientists / Microprocessors / Processor Architectures / Rechnerarchitektur und Logik-Entwurf / Special Purpose and Application-Based Systems / Special purpose computers / Systemanalyse und -design / Systems analysis & design / wieghted graphs / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9783319503066
EAN-Code:	9783319503066
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#10103 - Lecture Notes in Computer Science Theoretical Computer Science and General Issues
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	2175 gr
Seiten:	125
Illustration:	IX, 125 p. 56 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:

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics; combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems,  particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications of swarm intelligence principles to real world problems in various domains.