Applying an ant colony optimization algorithm-based multiobjective approach for time-cost trade-off

被引：63
|
作者：
Xiong, Ying [1 ]
Kuang, Yaping [2 ,3 ]
机构：
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
[2] Zhejiang Univ, Sch Civil Engn & Architecture, Hangzhou 310027, Peoples R China
[3] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
来源：
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT | 2008年 / 134卷 / 02期
关键词：
Algorithms; Cost control; Optimization; Project management; Time factors;
D O I：
10.1061/(ASCE)0733-9364(2008)134:2(153)
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The time-cost trade-off is one of the most crucial aspects of construction project planning, which in fact is a combinatorial optimization problem. This technical note employed an evolutionary algorithm-ant colony optimization (ACO) algorithm to deal with the time-cost trade-off problems. Combining with the modified adaptive weight approach, the ACO algorithm can find out the optimal solutions, and define the Pareto front as well. The development of the ACO-based multiobjective approach in this technical note provides an attractive alternative to solving construction time-cost optimization.
引用
收藏
页码：153 / 156
页数：4
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