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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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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