A novel hybrid genetic algorithm using local optimizer based on heuristic pattern move

摘要

A new hybrid genetic algorithm with the significant improvement of convergence performance is proposed in this study. This algorithm comes from the incorporation of a modified microgenetic algorithm with a local optimizer based on the heruistic pattern move. The hybridization process is implemented by replacing the two worst individuals in the Offspring obtained from the conventional genetic operations with two new individuals Generated from the local optimizer in each generation. Some implementation-related Problems such as the selection of control parameters in the local optimizer are addressed in Detail.