A Hybrid Genetic Tabu Search Fuzzy Clustering Algorithm
Yuqing Song · Jiangnan daxue xuebao. Ziran kexue ban · 2007
Traditional fuzzy clustering algorithm based on objective function is an iterative hill-climbing algorithm and is easy to fall into local optimization.This paper puts forward the fuzzy clustering algorithm based on genetic tabu algorithm,which applies synthetically many springboards of genetic algorithm and memory property of tabu algorithm to improve the clustering effect and produces the optimal clustering center by using iterating genetic tabu search algorithm.The experiments of different datasets demonstrate that the method is an effective algorithm.