Differential evolution algorithm based on individual ordering and sampling
Liang Shao · Computer Engineering and Applications Journal · 2012
The traditional structure of population is modified based on Differential Evolution(DE)and a new strategy of population setting is proposed,which is sorted based on the fitness values of individuals.A new method with saltatory and sampling in a nonrandom order is used to select candidates for mutation operation,and a method of survival of the fittest is used in individual selection operation.Thus,the ordered-sampling differential evolution algorithm is proposed,which has a better performance both in convergence rate and robustness compared with traditional differential evolution and particle swarm optimization via a benchmark function simulation test.