关键词: 人工蜂群算法, 空间优化选址, 邻域搜索, 交叉

Abstract: Public service location is a complex problem of spatial optimal location. The position quality has direct impact on whether the public services are able to maximize their effect. Exhaustive algorithm is hard to solve spatial optimal location with high-dimensional data. For space-optimized site characteristics and artificial bee colony algorithm slow convergence problem, a neighborhood searching formula for space-optimized site is proposed, and the crossing idea is introduced into the algorithm to speed up the global optimal solution optimization. The feasibility and effectiveness of the algorithm are verified. Experiments indicate that the enhanced artificial bee colony algorithm achieves better results than the basic artificial bee colony algorithm.

Key words: artificial bee colony algorithm, spatial optimal location, neighborhood search, crossing