Bare bones particle swarm optimization with Gaussian or cauchy jumps
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Evolutionary programming has been applied to many optimization problems. However, on some function optimization problems its convergence rate is slow. In this paper, swarm directions are embedded in fast evolutionary programming. The swarm direction for an individual supplies its place to be mutated. The experimental results show its effectiveness and efficiency.