摘要
提出了一种改进的人工免疫算法来计算电力系统电源规划,免疫算法是根据人或其它高等动物免疫系统的机理而设计的,将目标函数和不等式约束条件作为抗原,将搜索空间的解作为抗体,依据抗原与抗体的结合力以及抗体之间的结合力对解进行评价和选择,该算法在保持了基本免疫算法的全面搜索能力基础之上,又通过引入矢量距等概念使得免疫算法在理论上保证了解的多样性,通过仿真计算表明该算法是可行的,与遗传算法等模拟进化算法相比,该算法全局搜索能力强,收敛速度快。
A kind of improvement artificial immunization algorithm is proposed to calculate the electrical power system generation expansion planning.The algorithm maintains the basic immunity algorithm comprehensive search ability,also introduces the concepts which are apart from through to guarantee the the multiplicity of the understanding.The simulation computed experiment result indicates this algorithm is feasible.Camparing with heredity algorithm,this algorithm has strong overall search ablity and quick convergence rate.
出处
《计算机与数字工程》
2014年第1期40-43,共4页
Computer & Digital Engineering
关键词
电源规划
人工免疫算法
模拟进化算法
矢量距
generation expansion planning
artificial immune algorithm
evolutionary algorithm
vector
