Behavior of Independent-Minded Particle Swarm Optimization

This study proposes an improved Independent-mined Particle Swarm Optimization (IIPSO) algorithm. Particles of IIPSO have independence, and it is decided stochastically that each dimension of each particle is affected by gbest or not. IIPSO is applied to various optimization problem. The effectiveness of IIPSO for multimodal functions is confirmed in terms of robustness, accuracy based on evaluation criteria and parameter dependence.

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