计算机工程与应用Issue(15)：255-260,6.DOI:10.3778/j.issn.1002-8331.1308-0135
空间优化选址中的增强型人工蜂群算法
Enhanced artificial bee colony algorithm in spatial optimal location
摘要
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 artifi-cial bee colony algorithm.关键词
人工蜂群算法/空间优化选址/邻域搜索/交叉Key words
artificial bee colony algorithm/spatial optimal location/neighborhood search/crossing分类
信息技术与安全科学引用本文复制引用
张申利,王海起,龚安..空间优化选址中的增强型人工蜂群算法[J].计算机工程与应用,2015,(15):255-260,6.基金项目
国家自然科学基金（No.40701138）；山东省自然科学基金（No.ZR2012DM010）。 （）
