Selection and optimization of working groups Machines on Earthworks projects by Using Genetic Algorithm and Comparison of the results of a project carried out
عنوان مقاله: Selection and optimization of working groups Machines on Earthworks projects by Using Genetic Algorithm and Comparison of the results of a project carried out
شناسه ملی مقاله: ICCE10_0935
منتشر شده در دهمین کنگره بین المللی مهندسی عمران در سال 1394
شناسه ملی مقاله: ICCE10_0935
منتشر شده در دهمین کنگره بین المللی مهندسی عمران در سال 1394
مشخصات نویسندگان مقاله:
Ali Ziya Shams - Master of Civil Engineering and Construction Management, Sama Siyahkal technical and vocational training college,Lahijan Branch ,Siyahkal,Iran
Shahab Roshankar - Master of Civil Engineering and Construction Management, Sama Siyahkal technical and vocational training college,Lahijan Branch ,Siyahkal,Iran
Amin Ziya Shams - Civil Engineering, Bandar Anzali Azad University
خلاصه مقاله:
Ali Ziya Shams - Master of Civil Engineering and Construction Management, Sama Siyahkal technical and vocational training college,Lahijan Branch ,Siyahkal,Iran
Shahab Roshankar - Master of Civil Engineering and Construction Management, Sama Siyahkal technical and vocational training college,Lahijan Branch ,Siyahkal,Iran
Amin Ziya Shams - Civil Engineering, Bandar Anzali Azad University
One of the most important factors in successful projects and large construction projects, as well as how to choose the machines and their management is. In addition, projects that are large soil operations, Machinery is the most important part of the project. In this paper we use a mathematical model to examine the question of machinery Earthworks. Due to the high volume parameters and calculations, the program was written using genetic algorithms, which have the ability to resolve the above issue. Then with The comparison of a construction project that has already been implemented and all the data that was available, with the results of this study, the results of the project was to optimize the cost and time
کلمات کلیدی: Machines, Earthworks, Optimization, Genetic Algorithm
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/364632/