Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juli 2018
Genre:	EDV / Informatik
	Algorithm Analysis and Problem Complexity / Algorithmen und Datenstrukturen / Algorithms / Algorithms & data structures / Artificial Intelligence / C / Computational Intelligence / computer science / data analysis / machine learning / Theory of Computation mehr...
ISBN:	9783319905112
EAN-Code:	9783319905112
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	Genetic and Evolutionary Computation
Dimensionen:	H 235 mm / B 155 mm / D 17 mm
Gewicht:	477 gr
Seiten:	187
Illustration:	XV, 187 p. 54 illus., 46 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:

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.