Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	März 2016
Genre:	Schulbücher
	Algorithm Analysis and Problem Complexity / Algorithms / angewandte informatik / Application software / Artificial Intelligence / Automated Pattern Recognition / C / Computer and Information Systems Applications / Computer Applications / computer science / Computer science—Mathematics / Data Mining / Data Mining and Knowledge Discovery / Expert systems / knowledge-based systems / Information technology# general issues / Künstliche Intelligenz / Mathematical theory of computation / Mathematics of Computing / Mathematik für Informatiker / Maths for computer scientists / Mustererkennung / Particle swarm optimization (PSO) / pattern recognition / problem solving / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9783319312033
EAN-Code:	9783319312033
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#9597 - Lecture Notes in Computer Science Theoretical Computer Science and General Issues
Dimensionen:	H 235 mm / B 155 mm / D 53 mm
Gewicht:	12978 gr
Seiten:	849
Illustration:	XXV, 849 p. 252 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 volumes LNCS 9597 and 9598 constitute the refereed conference proceedings of the 19th European Conference on the Applications of Evolutionary Computation, EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 57 revised full papers presented together with 17 poster papers were carefully reviewed and selected from 115 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).