Multi-Objective Optimization for Construction Site Layout Planning Problem under Fuzzy Random Environment

被引：3
|
作者：
Zhao, Siwei [1 ]
Li, Zongmin [1 ]
机构：
[1] Sichuan Univ, Sch Business, Chengdu 610065, Peoples R China
来源：
2014 SEVENTH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION (CSO) | 2014年
关键词：
construction site layout; multi-objective; fuzzy random; cost and security; genetic algorithm; optimization; GENETIC ALGORITHMS; FACILITIES; SAFETY; MODEL;
D O I：
10.1109/CSO.2014.148
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The aim of this paper is to consider the construction site layout planning (CSLP) problem under a fuzzy random environment. With consideration of the multi-objective optimization (MOO) model is developed for fulfilling the requirement of reducing cost and improving the site security simultaneously. For solving MOO model, a multi-objective genetic algorithm (MOGA) is designed as a solution method. Finally, the results and comparisons analysis of a case study are presented to demonstrate the practicality and efficiency of the optimization method. A case study of a building project is used to validate the proposed MOO model and the results are very positive.
引用
收藏
页码：641 / 645
页数：5
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