A New Hybrid Evolution Genetic Algorithm with Laplace Crossover and Power Mutation

In this study, we develop a new genetic algorithm based on hybrid Laplace crossover and power mutation (HLCPM). This hybrid evolution algorithm makes use of feasible as well as infeasible real-coded chromosomes to initialize population. In genetic evolution, the hybrid crossover operation, which rests on Laplace distribution, is taken place between feasible and infeasible chromosomes, and the mutation operation is based on power distribution function. The performance of HLCPM is discussed with number computation on a set of 10 benchmark global optimization test problems, and the results show that HLCPM has a quite well performance.