An Improved Niche Genetic Algorithm
Based on the genetic algorithm for solving multiobjective optimization easily leads to the defect of premature and slow convergences an improved niche genetic algorithm is proposed.This algorithm is to select distance parameter equals to the minimum Euclidean distance between the best individuals,using the method of allele comparison to determine within the distance parameter individuals whether similar.Using this method solves the problem of multi-objective optimization,which can produce a better niche environment, greatly protect the diversity of population and improve the search efficiency.The simulation results show that new algorithm effectively avoids falling into local optimal solutions, and performance is superior to the existing algorithms.
niche genetic algorithm multi-objective distance parameter
Huang Ming Liu Nan Liang,Xu
Software Technology Institute Dalian Jiao Tong University Dalian,China
国际会议
上海
英文
1194-1196
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）