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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Alba, Enrique (Επιμελητής έκδοσης), Nakib, Amir (Επιμελητής έκδοσης), Siarry, Patrick (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:Studies in Computational Intelligence, 433
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.