摘要
应用遗传算法对发电厂负荷经济调度问题进行求解。针对遗传算法局部搜索能力较弱的特点,采用可变区间的编码方法,将求解过程分为初步寻优和精细优化。算例表明,该方法使用较短的编码长度获得较好的优化结果,可以在不提高编码长度的情况下提高计算精度,降低了计算精度对基因长度的要求。
Genetic algorithm is adoptedtosolve economic dispatch problem. A coding method withadjusted range is applied to improve performance in local range. The algorithm procedure is divided intotwo parts: primary search and refined optimization. Testing results show that the method can get more approached value with shorter chromosome length. The improvement of accuracy isn't achieved by adding chromosome length, so the method reduce the demand for more chromosome length to improve accuracy.
出处
《华北电力大学学报(自然科学版)》
CAS
北大核心
2004年第4期36-38,43,共4页
Journal of North China Electric Power University:Natural Science Edition
基金
国家电网公司青年促进费资助项目(SP11-2001-05-66).