中文摘要：

随着栖息地居住条件的变化,生物物种在各个栖息地之间不断迁移。将根据自然界物种迁移规律构造的生物地理学优化算法（biogeography-based optimization,BBO）应用于求解输电网络规划问题。针对BBO算法开采能力较强而搜索能力偏弱的特点,采用排重操作对其进行改进。以18节点系统为算例,对各种机制作用下的BBO算法的寻优能力以及与遗传算法的性能差别进行了对比分析。结果显示包含排重操作的BBO算法为兼顾了开发能力和搜索能力、可与遗传算法比拟的寻优方法。

英文摘要：

Along with the variation of living environment decided by rainfall,geological condition,climate and so on,biological species migrate among different habitats continually.The biogeography-based optimization（BBO） algorithm that is constructed according to the law of species migration is applied in the solution of transmission network planning.In view of the features of BBO that it possesses strong exploitation ability and weak exploration ability,the BBO algorithm is improved through the operation of seeking and removing repetitive suitability vectors.Taking an 18-bus power system as the case,the performance differences between searching ability of BBO algorithm and genetic algorithm under various mechanisms are compared and analyzed.Results of comparative analysis show that the BBO algorithm,to which the operation of seeking and removing repetitive suitability vectors is applied,can considers both exploitation ability and exploration ability simultaneously,and its optimization ability is comparable to genetic algorithm.