计算机应用研究2011，Vol.28Issue(9)：3338-3340,3.DOI:10.3969/j.issn.1001-3695.2011.09.038
求解人力资源分配问题的多目标微粒群优化算法
Novel multi-objective particle swarm optimization algorithm for solving human resource allocation problem
摘要
Abstract
This paper proposed a novel multi-objective particle swarm optimization algorithm for solving the human resource allocation problem. It ensured that the individual equably dispersing in the feasible solution space by using the population quadrature initialization,effectively retained approximation Pareto off-the-press non-inferior solution by using external archive non-inferior solution delete selected strategy based on the grid technology, and promoted the probability of particles convergence to the Pareto frontier by introducting a generalized learning strategies. Results of the numerical experiment show that ihe proposed algorithm is effective and useful in solving the human resource allocation problem, and has good application value.关键词
微粒群算法/多目标优化/人力资源分配问题Key words
particle swarm optimization algorithm/ multi-objective optimization/ human resource allocation problem分类
信息技术与安全科学引用本文复制引用
单爱慧,蒋丽..求解人力资源分配问题的多目标微粒群优化算法[J].计算机应用研究,2011,28(9):3338-3340,3.基金项目
鲁东大学基金资助项目(032812) （032812）
