Description: Proposed a novel niche for niche particle swarm optimization technology niche radius parameter selection problem, without niche habitat radius of any parameter. By monitoring changes in the value of the particle tangent function to determine whether the individual particles belong with a mountain to make it the optimal particle track where the mountain flight, and then searched every hill extremum. The algorithm is simple, not only to overcome the drawbacks of the need to use the niche parameters, and solve the particle swarm algorithm can only find a solution to the lack of. Finally, through the simulation of multi-peak function to verify the algorithm can accurately find all the peaks
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用于多峰函数优化的改进小生境微粒群算法.pdf
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