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

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

Paperback

General Computers

ISBN10: 3319708503
ISBN13: 9783319708508
Publisher: Springer
Published: Mar 22 2018
Pages: 105
Weight: 0.38
Height: 0.24 Width: 6.14 Depth: 9.21
Language: English
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

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General Computers