Olivas / Valdez / Castillo Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
1. Auflage 2018
ISBN: 978-3-319-70851-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 105 Seiten
Reihe: SpringerBriefs in Computational Intelligence
ISBN: 978-3-319-70851-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Proposes a methodology for parameter adaptation in meta-heuristic optimization methods
Uses three different optimization methods: PSO (Particle Swarm Optimization), ACO (Ant Colony Optimization) and GSA (Gravitational Search Algorithm), to verify the improvement of the proposed methodology
Demonstrates the advantage of the methodology by using various simulations
Uses three different optimization methods: PSO (Particle Swarm Optimization), ACO (Ant Colony Optimization) and GSA (Gravitational Search Algorithm), to verify the improvement of the proposed methodology
Demonstrates the advantage of the methodology by using various simulations
Olivas / Valdez / Castillo
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Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Introduction.- Theory and Background.- Problems Statement.- Methodology.- Simulation Results.- Statistical Analysis and Comparison of Results.
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