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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/89039

    題名: GA optimization model for repetitive projects with soft logic
    作者: Fan, Su-Ling;Sun, Kuo-Shun;Wang, Yu-Ren
    貢獻者: 淡江大學土木工程學系
    關鍵詞: Construction scheduling;Repetitive project;Soft logic;Time–cost trade-off;Genetic algorithms
    日期: 2012-01
    上傳時間: 2013-05-06 13:49:01 (UTC+8)
    出版者: Amsterdam: Elsevier BV
    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.
    關聯: Automation in Construction 21, pp.253–261
    DOI: 10.1016/j.autcon.2011.06.009
    顯示於類別:[土木工程學系暨研究所] 期刊論文


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