Multi-Objective Ant Colony Algorithm in EPC Risk Control

被引：0

作者：

Hu, Jian ^{[1
]}

Sun, Jin Hua ^{[1
]}

Yan, Jian Ming ^{[1
]}

Liu, Zhen ^{[1
]}

Shi, Yu Ren ^{[1
]}

机构：

[1] Chongqing Univ Technol, Sch Business Adm, Chongqing 400054, Peoples R China

来源：

2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING | 2012年 / 29卷

关键词：

Multi-objective optimization; Pareto optimal; Ant colony algorithm; Energy performance contracting;

D O I：

10.1016/j.proeng.2012.01.210

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

According to the risks and risk control target in energy performance contracting (EPC), this paper has designed the risk control measure set. On the basis, a risk control model is put forward, including the risk evaluation, risk control cost, risk loss. Then, a multi-objective ant colony algorithm, based on Pareto theory, is used to solve the model. A series of Pareto optimal solutions are got by example. The result shows that the solutions have the better diversity and convergence. At the same time, the model can find the best combination of various risk control measures in EPC, which can provide direct evidence for the company of EPC. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology.

引用

页码：1767 / 1773

页数：7