| 基于VEPSO-BP的多资源均衡优化 |
| |
| 引用本文： | 郭研,李南,李兴森.基于VEPSO-BP的多资源均衡优化[J].系统工程,2009(10). |
| |
| 作者姓名： | 郭研 李南 李兴森 |
| |
| 作者单位： | 南京航空航天大学经济管理学院;浙江大学宁波理工学院; |
| |
| 基金项目： | 国家自然科学基金资助项目(70871111) |
| |
| 摘 要： | 针对多资源均衡问题的特点,建立了描述问题的数学模型,然后运用多目标优化的思想,提出了一种新的基于Pareto和向量评价的微粒群算法(VEPSO-BP)。最后通过算例的计算分析,用VEPSO-BP得到的各项资源的最小资源强度分别比VEPSO降低了22.3%、10.1%和23.7%,验证了该方法在多资源均衡优化中的可行性和有效性。
|
| 关 键 词： | 基于向量评价的微粒群算法 微粒群算法 Pareto最优 多资源均衡 |
Multi-resources Equilibrium Optimization Based on VEPSO-BP |
| |
| GUO Yan,LI Nan,LI Xing-sen.Multi-resources Equilibrium Optimization Based on VEPSO-BP[J].Systems Engineering,2009(10). |
| |
| Authors: | GUO Yan LI Nan LI Xing-sen |
| |
| Institution: | GUO Yan1,2,LI Nan1,LI Xing-sen2(1.College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China,2.Ningbo Institute of Technology,Zhejiang University,Ningbo 315100,China) |
| |
| Abstract: | Based on the characteristics of multi-resources optimization,this paper establishes a mathematic model.Then,applying the method of multiobjectives optimization,it puts forward a new vector evaluated particle swarm optimization based on Pareto(VEPSO-BP).Finally through computational analysis of a numerical example,the minimum resource intensity of each resources obtained by VEPSO-BP is reduced by 22.3%,10.1% and 23.7% respectively compared to VEPSO,which validates the feasibility and the effectiveness of the... |
| |
| Keywords: | VEPSO PSO Pareto Optimal Multi-resources Equilibrium optimization |
| 本文献已被 CNKI 等数据库收录！ |
|
