Two improved niche genetic algorithms (niche genetic algorithm based on fuzzy similarity clustering and self-adaptive controlling of peaks radii, and multi-niche crowding genetic algorithm based on fitness sharing) are proposed in this paper, for overcoming the limitations of traditional multiple hump searching niche genetic algorithms.

Determining the count of niche and the value of niche radius is a hard problem for multiple hump functions,so the niche genetic algorithm based on fuzzy similarity clustering and self-adaptive controlling of peaks radii is proposed.

This paper puts forward an electronic commercial oriented automatic negotiation system based on the fuzzy similarity function.

The application of fuzzy clustering analysis in the comfort evaluation of garment;

Recognition of the key economic factors of petroleum industry equipment management based on fuzzy clustering;

Optimized formation assignment for large-scale air fleet using fuzzy clustering and genetic algorithm;