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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	März 2021
Genre:	EDV / Informatik
	ArtificialIntelligence / correlationanalysis / Evolutionaryalgorithms / evolutionarymultiobjectiveoptimization / geneticalgorithms / Künstliche Intelligenz (KI) / machinelearning / Multi-objectiveEvolutionaryAlgorithms / multi-objectiveoptimization / multi-objectiveoptimizationproblem / NSGA-II / OptimalSolutions / OptimizationProblems / paretofront / Paretoprinciple mehr...
ISBN:	9783030720612
EAN-Code:	9783030720612
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 43 mm
Gewicht:	1188 gr
Seiten:	800
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.