关键词: 无容量设施选址问题, 蝙蝠算法, 局部搜索, 和声搜索, 游走法则

Abstract: The Un-capacitated Facility Location（UFL） problem is a classical combinatorial optimization hard problem and has been applied in various fields. Bat Algorithm（BA） is a new intelligent optimization algorithm, which has not yet been applied to un-capacitated facility location problem. Based on the mathematical model and specific features of the un-capacitated facility location problem, combined with three local search strategies and harmony search mechanism, a new search equation is proposed in the best solution of current iteration, a Hybrid Bat Algorithm（HBA） is designed for solving it. Furthermore, the numerical experiment is implemented by using HBA to solve a testing example, and its solution is compared with the one obtained with the state-of-the-art algorithm. The results show that HBA can effectively and feasibly solve UFL problem.

Key words: un-capacitated facility location problem, bat algorithm, local search, harmony search, migration rule