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

• Κύριοι συγγραφείς: Olivas, Frumen (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Valdez, Fevrier (http://id.loc.gov/vocabulary/relators/aut), Castillo, Oscar (http://id.loc.gov/vocabulary/relators/aut), Melin, Patricia (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: SpringerBriefs in Computational Intelligence,
• Θέματα: Computational intelligence.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence.

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...

Πίνακας περιεχομένων:

• Introduction
• Theory and Background
• Problems Statement
• Methodology
• Simulation Results
• Statistical Analysis and Comparison of Results.