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多项目交互组合选择模型的改进粒子群优化研究 被引量：1

Researches on Improved PSO Considering Interdependencies of Multi-project Portfolio Selection
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摘要 为解决多项目之间发生交互作用时的项目选择和组合优化问题,在已有优化模型的基础上,提出改进的粒子群算法,利用种群间跳跃改进的方法增强了粒子的搜索性能,并通过聚类和干涉的方法,防止算法陷入局部最优,有效求解多目标优化模型,最后利用算例分析证明模型和算法的有效性。 An improved particle swarm optimization algorithm is proposed to solve the existing project portfolio selection model in order to select projects and accomplish portfolios. The jump improved operation is used to enhance the searching a- bility of particles. A cluster and disturbance operation is utilized to solve the multiple objective optimization model in order to prevent the searching algorithm from falling into local optimization. The analysis of numerical results is proposed to illus- trate the effectiveness of the model and algorithm.
作者 罗淑娟 白思俊
机构地区 西北工业大学管理学院
出处 《世界科技研究与发展》 CSCD 2016年第1期150-156,共7页 World Sci-Tech R&D
基金 国家自然科学基金(71172123) 航空科学基金(2012ZG53083)资助
关键词 项目组合 粒子群算法 聚类 跳跃改进 project portfolio particle swarm algorithm cluster jump improved operation
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献15

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同被引文献17

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世界科技研究与发展
2016年 第1期

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