| Title: | Triangle Evolution - A Hybrid Heuristic for Global Optimization |
| Authors: | Luo CT(罗长童); Yu B(于波) |
| Issue Date: | 2009 |
| Abstract: | 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. |
| URI: | http://dspace.imech.ac.cn/handle/311007/33063 |
| discipline: | 流体力学::计算流体力学 |
| Citation: | Journal of Mathematical Research and Exposition.2009,29(2):237-246 |
| Appears in Collections: | 高温气体动力学重点实验室_期刊论文
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| Triangle Evolution.pdf | | 571Kb | Adobe PDF | View/Open |
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