Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic

In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods, to decide through a fuzzy inference system the best parameter values that were carefully se-lected...

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Detaylı Bibliyografya
Asıl Yazarlar: Olivas, Frumen (Yazar), Valdez, Fevrier (Yazar), Castillo, Oscar (Yazar), Melin, Patricia (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edisyon:1st ed. 2018.
Seri Bilgileri:SpringerBriefs in Computational Intelligence,
Konular:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • Introduction
  • Theory and Background
  • Problems Statement
  • Methodology
  • Simulation Results
  • Statistical Analysis and Comparison of Results.

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