The multiple-objective Optimization Algorithm in Construction Project

被引:0
|
作者
Guo, Qing Jun [1 ]
Sai, Yun Xiu [1 ]
机构
[1] Xian Technol Univ, Dept Civil Engn, Xian 710032, Peoples R China
关键词
social cognitive optimisation; the multiple-objective optimisation; intelligent optimisation algorithm; social cognitive theory;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Time, quality and cost are the three major objectives for project management with mutual strain and influence. To achieve a proper time limit with low cost in high quality is the best solution for a project. The Social Cognitive Optimization is a simple behavioral model based on human social cognition, it shows that it can get high quality solutions efficiently, even only one learning agent, which may be conveniently employed to execute random and global search. The Social Cognitive Optimization (SCO) method is employed to conduct multiple objective project optimization. After introducing the history, the concept and the step of the algorithm, an optimization model is formulated on the time, quality and cost of projects. The actual example indicates that SCO can accurately and efficiently solve multiple-objective project optimization problems.
引用
收藏
页码:391 / 395
页数:5
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