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Recent Advances in Evolutionary Multi-objective Optimization
Hauptbeschreibung
Provides both methodological treatments and real world insightsServes as comprehensive reference for researchers, practitioners, and advanced-level studentsCovers both the theory and practice of using evolutionary algorithms in tackling real world applications involving multiple objectives
Inhaltsverzeichnis
Multi-objective Optimization: Classicaland Evolutionary Approaches.- Dynamic Multi-objective Optimization using EvolutionaryAlgorithms: A Survey.- Evolutionary Bilevel Optimization: An Introductionand Recent Advances.- Many-objective Optimization using Evolutionary Algorithms:A Survey.- On the Emerging Notion of EvolutionaryMultitasking: A Computational Analog of CognitiveMultitasking.- Practical Applications in Constrained EvolutionaryMulti-objective Optimization.
ISBN-13:
9783319827094
Veröffentl:
2018
Erscheinungsdatum:
14.06.2018
Seiten:
192
Autor:
Slim Bechikh
Gewicht:
300 g
Format:
235x155x11 mm
Serie:
20, Adaptation, Learning, and Optimization
Sprache:
Englisch
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