Triangle Evolution-A Hybrid Heuristic for Global Optimization
Data(s) |
2009
|
---|---|
Resumo |
Abstract This paper presents a hybrid heuristic{triangle evolution (TE) for global optimization. It is a real coded evolutionary algorithm. As in di®erential evolution (DE), TE targets each individual in current population and attempts to replace it by a new better individual. However, the way of generating new individuals is di®erent. TE generates new individuals in a Nelder- Mead way, while the simplices used in TE is 1 or 2 dimensional. The proposed algorithm is very easy to use and e±cient for global optimization problems with continuous variables. Moreover, it requires only one (explicit) control parameter. Numerical results show that the new algorithm is comparable with DE for low dimensional problems but it outperforms DE for high dimensional problems. |
Identificador | |
Idioma(s) |
英语 |
Fonte |
Journal of Mathematical Research and Exposition.2009,29(2):237-246 |
Palavras-Chave | #流体力学::计算流体力学; |
Tipo |
期刊论文 |