Abstract: 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.
Guo Tao algorithm,
Gauss mutation operator,
cooperative co-evolution algorithm