Abstract
To the multi-modal function optimization problem, after analyzing characteristics and deficiencies of traditional niche genetic and niche clonal selection algorithms, it proposes a niche particle swarm algorithm (NPSA), which based on principle of particle swarm algorithm. By the convergence analysis and simulation experiments of four typical multi-modal functions, conclusions show that the NPSA has eximious simplicity and high efficiency.
This work is supported by the National Natural Science Foundation of China (61073101).
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© 2012 Springer-Verlag Berlin Heidelberg
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Tang, Cl., Huang, Yr., Li, Jy. (2012). Niche Particle Swarm Algorithm and Application Study. In: Deng, W. (eds) Future Control and Automation. Lecture Notes in Electrical Engineering, vol 173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31003-4_8
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DOI: https://doi.org/10.1007/978-3-642-31003-4_8
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