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Metaheuristics for Dynamic Optimization

This book is an updated effort in summarizing the trending topics and new hot research lines in solving dynamic problems using metaheuristics. An analysis of the present state in solving complex problems quickly draws a clear picture: problems that change in time, having noise and uncertainties in t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Alba, Enrique (Editor ), Nakib, Amir (Editor ), Siarry, Patrick (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Studies in Computational Intelligence, 433
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • From the Contents: Performance Analysis of Dynamic Optimization Algorithms
  • Quantitative Performance Measures for Dynamic Optimization Problems
  • Dynamic Function Optimization: The Moving Peaks Benchmark
  • SRCS: a technique for comparing multiple algorithms under several factors in Dynamic Optimization Problems
  • Dynamic Combinatorial Optimization Problems: A Fitness Landscape Analysis
  • Two Approaches for Single and Multi-Objective Dynamic Optimization
  • Self-Adaptive Differential Evolution for Dynamic Environments with Fluctuating Numbers of Optima
  • Dynamic multi-objective optimization using PSO.