Segmental Waves Differential Evolution Algorithm for Function Optimization
Ronghui Liu · Journal of Chinese Computer Systems · 2011
Differential Evolution(DE) is generally considered as a simple and efficient scheme for global optimization.DE in solving high-dimension complex problems with lower convergence accuracy,a new differential evolution algorithm with segmental waves is proposed.Mutation strategies are adapted by an operator based on Cauchy distribution random number,and the evolution process is divided into two segments with different crossover rate to improve the performance of the algorithm.At the same time,to enhance the convergent speed,a new mutation strategy is introduced.Benchmark problems are used to verify this algorithm and the simulation results,which is better than,or at least comparable to the other DE variants,show that new DE outperforms in the high-dimension complex problems.