Simone A. Ludwig
ABSTRACT
This paper proposes a Repulsive Adaptive PSO (RAPSO) variant that adaptively optimizes the velocity weights of every particle at every iteration. RAPSO optimizes the velocity weights during every outer PSO iteration, and optimizes the solution of the problem in an inner PSO iteration. We compare RAPSO to Global Best PSO (GBPSO) on nine benchmark problems, and the results show that RAPSO out-performs GBPSO on difficult optimization problems.
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Index Terms
- Towards a repulsive and adaptive particle swarm optimization algorithm
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