Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CEC.2009.4983071 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
convergence speed,solution stability,wavelet theory,scaling factor,benchmark test function,existing method,mutation operation,new differential evolution,solution space,better solution,solution quality,improved differential evolution,wavelet transforms,evolutionary algorithms,evolutionary computation,mathematical model,probability distribution,stability,space exploration,optimization,optimization problems,stochastic processes,benchmark testing,data mining,differential evolution | Mathematical optimization,Evolutionary algorithm,Computer science,Evolutionary computation,Differential evolution,Artificial intelligence,Cascade algorithm,Optimization problem,Benchmark (computing),Machine learning,Wavelet transform,Wavelet | Conference |
Citations | PageRank | References |
4 | 0.51 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. C. Y. Lai | 1 | 12 | 2.65 |
| F. H. F. Leung | 2 | 616 | 33.93 |
| S. H. Ling | 3 | 609 | 40.29 |