Hybrid genetic algorithm based on mutative scale chaos optimization strategy

Aiming at the disadvantage of SGA, a new hybrid genetic algorithm is presented. Using the methodofmutativescalechaosoptimizationalgorithm,chaoticsearchfor the optimization is implemented to the population which passed through the genetic algorithm one time, which can induce the evolution of the population rapidly. The method has advantages such as fast searching speed, high computing precision, being convenient to use, etc. The simulation results show that the performance of this kind of method is better than that of SGA and other hybrid GA.