GA optimization model for repetitive projects with soft logic
學年 100
學期 1
出版(發表)日期 2012-01-01
作品名稱 GA optimization model for repetitive projects with soft logic
著者 Su-Ling Fan; Kuo-Shun Sun; Yu-Ren Wang
著錄名稱、卷期、頁數 Automation in Construction 21, P.253-261
摘要 This paper presents a Genetic Algorithm (GA) based optimization model for repetitive projects when considering soft logic. There have been several models developed for Time–cost Trade-Off optimization in repetitive projects and these models were set up to search for optimum output rate that yields the minimum total cost for each project. Previous researches are based on the assumption that work sequence cannot be changed for different work zones. In reality, work sequence between work zones are not fixed (actually, constantly adjusted) throughout the project. Instead, they are often changed to shorten the construction time and minimize the total cost. Scheduling with the non-fixed work sequences between work zones is known as the soft logic method. Considering the soft logic in repetitive projects, the proposed GA model aims to assist the project team to find the minimum overall cost subjecting to different output rates and logical sequences.
關鍵字 Construction scheduling;Repetitive project;Soft logic;Time–cost trade-off;Genetic algorithms
語言 en
ISSN 1872-7891
期刊性質 國外
產學合作 國內
國別 TWN
出版型式 ,電子版

機構典藏連結 ( )

SDGS 性別平等,產業創新與基礎設施