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

by Fevrier Valdez, Oscar Castillo, Patricia Melin, et al.

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

• Format: Paperback
• Language: English
• ISBN: 3319708503
• ISBN13: 9783319708508
• Release Date: March 2018
• Publisher: Springer
• Length: 105 Pages
• Weight: 0.38 lbs.
• Dimensions: 0.2" x 6.1" x 9.2"