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一种高效的全局数值优化方法:演化-单纯形算法
AN EFFECTIVE ALGORITHM FOR GLOBAL OPTIMIZATION: EVOLUTIONARY- SIMPLEX ALGORITHM
【摘要】 演化计算是上世纪六十年代后基于生物进化的思想发展起来的一类求解优化问题的自适应、自组织、随机搜索的全局优化算法。本文针对遗传算法、演化策略两种演化计算存在的问题进行了改进,将演化计算与单纯形算法相结合,设计了一种基于浮点编码的演化-单纯形算法。针对七个典型的测试函数进行的对比分析表明本文提出的演化-单纯形算法是一种具有较高搜索效率的数值优化方法。
【Abstract】 An effective algorithm of the global optimization is proposed in the paper. It is named as the evolutionary - simplex algorithm. It is based on the floating-point coding. It is combined with the evolutionary computation and the simplex algorithm. It is designed to overcome some existent problems. Some numerical tests are made by the seven typical test functions. Compared with other results, the searching ability of the proposed algorithm is more efficient.
【关键词】 数值优化;
演化计算;
单纯形算法;
演化-单纯形算法;
【Key words】 global optimization; evolutionary computation; simplex algorithm; evolutionary-simplex algorithm;
【Key words】 global optimization; evolutionary computation; simplex algorithm; evolutionary-simplex algorithm;
【基金】 国家自然科学基金资助(50278006)
- 【文献出处】 土木工程学报 ,China Civil Engineering Journal , 编辑部邮箱 ,2003年05期
- 【分类号】TP18
- 【被引频次】13
- 【下载频次】282