Improved-GT-Operator-Based Cooperative Co-evolutionary Algorithm to Function Optimization
Zhenhua Li · Jisuanji gongcheng · 2008
Guo Tao(GT) algorithm is highly effective in solving function optimization problems.The core of the algorithm is multi-parent recombination,but it only has crossover operator,no mutation.Gauss mutation operator of Evolution Strategies(ES) is introduced.Cooperative Co-Evolution Algorithm(CCEA) uses multi-population strategy,which means that the fitness of an individual depends on the relationship between that individual and other individuals.CCEA is high-efficient in solving complicated problem.A cooperative co-evolution model to function optimization is proposed,based on an improved Guo Tao operator,which employs a Gauss mutation operator to enhance its exploring ability.Experimental results show that the model is more effective than others.