Adaptive genetic algorithm based on co-evolution
Bin Liu · Computer Engineering and Applications Journal · 2011
For the problem of local optimum and the performance of stability,an adaptive genetic algorithm based on co-evo- lution is proposed.Adaptive probability of mutation is applied in local evolution and the capability of local search on the top floor is enhanced.On the bottom floor,co-evolution algorithm is used for solving the premature convergence among sub-populations,and adaptive genetic manipulation is used to protect outstanding individuals in sub-populations.The experi- ments demonstrate that this algorithm can increase the convergent speed and it has the ability of searching an optimum solution.