GA optimization model for repetitive projects with soft logic

Autor:	Su-Ling Fan, Yu-Ren Wang, Kuo-Shun Sun
Rok vydání:	2012
Předmět:	Engineering Mathematical optimization Control and Systems Engineering business.industry Total cost Construction scheduling Real-time computing Genetic algorithm Building and Construction business Project team Civil and Structural Engineering Scheduling (computing)
Zdroj:	Automation in Construction. 21:253-261
ISSN:	0926-5805
DOI:	10.1016/j.autcon.2011.06.009
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::663569bd93966f6e2b5bb51b89e80d4b https://doi.org/10.1016/j.autcon.2011.06.009 Zobrazit plný text záznamu Full Text from ScienceDirect