関数値最適化のためのParticle Swarm Optimization, Differential Evolution,実数値遺伝的アルゴリズムの探索性能に関する検討

摘要

In this paper, we evaluate the performance of Differential Evolution (DE), Particle Swarm Optimization (PSO), and Real-Coded Genetic Algorithm (Real-Coded GA) on a function optimization problem. The comparative study is performed on 4 benchmark problems. The results from our study show that DE outperforms the other methods.