New hybrid optimization based on differential evolution and particle swarm optimization
Xuehai He · Computer Engineering and Applications Journal · 2012
To take advantage of different algorithms,a hybrid optimization algorithm is proposed based on the combination of Differential Evolution(DE)and Particle Swarm Optimization(PSO).At the last period of the hybrid optimization,a new population will be produced around the best position found by the PSO,and DE is carried out with this population.The hybrid optimization can deduce the computational work to some degree and has more chance to find the best solution in a better region.Numerical tests on some benchmark functions are conducted for the algorithm evaluation.The results show the higher precision and more probability to find the best solution.