Title :
A new Differential Evolution with wavelet theory based mutation operation
Author :
Lai, J.C.Y. ; Leung, F.H.F. ; Ling, S.H.
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hong Kong
Abstract :
An improved differential evolution (DE) that incorporates a wavelet-based mutation operation to control the scaling factor is proposed. The wavelet theory applied is to enhance DE in exploring the solution spaces more effectively for better solutions. A suite of benchmark test functions is employed to evaluate the performance of the proposed method. It is shown empirically that the proposed method outperforms significantly the existing methods in terms of convergence speed, solution quality and solution stability.
Keywords :
evolutionary computation; optimisation; wavelet transforms; differential evolution; evolutionary algorithms; optimization problems; wavelet theory based mutation operation; Benchmark testing; Biomedical signal processing; Evolution (biology); Evolutionary computation; Genetic mutations; Probability distribution; Signal processing algorithms; Space exploration; Stability; Stochastic processes;
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
DOI :
10.1109/CEC.2009.4983071