Differential Evolution Algorithms with Extinction Based on Space Contraction
Fei Gao · Fuza xitong yu fuzaxing kexue · 2004
This paper proposes a novel approach differential evolution algorithms with extinction based on space contraction (DEESC) to increase the efficiency and to avoid too much searching in wrong space. This method contract the feasible searching space by optimal individual using uniform design tablet to regenerate initial feasible point. And the main parameter is discussed. Cases studies illustrate that DEESC for function optimization proposed can improve the global convergence speed in lower computation efforts and has the advantages of robustness and efficiency to such a certain extent.