摘要
首次提出基于相似性矢量距选择概率的免疫遗传算法来求解城市高压配电网规划。结合遗传算法(GA)和免疫算法(IA)建立具有动态调整罚因子的目标函数,并引入人工免疫机制对各个抗体之间在编码上的相似性进行处理,以保存种群的多样性同时保证算法能够较快的收敛。通过IEEE-6节点系统的仿真计算,并与其他算法比较,表明该算法计算速度和优化效果都具有明显的优势。
To solve problems on the urban power network planning ,an immune genetic algorithm based on selection probability of similarity and vector distance is developed in the paper. The algorithm combines the genetic algorithm （GA） with the immune algorithm （IA）. The dynamic penalty coefficient is used in the objective function. In order to keep the type diversity and to ensure the algorithm to converge faster, selection probability of similarity and vector distance which takes into account the coding similarities among antibodies are proposed. On comparison with other algorithms by case experiments on the IEEE 6-bus system, the results show the algorithm proposed in this paper possesses distinct advantages on efficiency and calculation speed,
出处
《水电能源科学》
2007年第3期92-95,共4页
Water Resources and Power
关键词
电网规划
遗传算法
免疫算法
相似性矢量距
network planning genetic algorithm immune algorithm
similarity and vector distance
