Evolutionary Optimization Approach Research for Big Data

Key words: 
• niche genetic algorithms、hierarchical sub population、mutation operation、crossover opera-tion、big data

Abstract: For the problem that conventional evolutionary approach is easy to trap local optimal for high di-mensionality or big data ,an enhanced evolutionary algorithms based on grid niches and multi-layer popula-tion has been proposed .Firstly ,based on grid niches approach the main population is constructed ,main population evolution independently and migration the members with low fitness value to sub-populations . By the fitness range of the low fitness individuals the sub-population constructed ,each sub-population evo-lution independently ,low fitness individuals in the sub-population could migrate to main population ,with that operations the diversity is produced and the premature convergence is prevented for big data .Compared evalu-ation for benchmark problems result show s that the proposed approach has superior performance .