دانلود مقاله ISI انگلیسی شماره 68400
عنوان فارسی مقاله

بهینه سازی ژنتیکی چندهدفه پروژه های ساختمانی خطی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
68400 2012 8 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Multi-objective genetic optimization of linear construction projects
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : HBRC Journal, Volume 8, Issue 2, August 2012, Pages 144–151

کلمات کلیدی
مدیریت پروژه ساخت و ساز؛ خط روش تعادل، بهینه سازی ژنتیکی
پیش نمایش مقاله
پیش نمایش مقاله بهینه سازی ژنتیکی چندهدفه پروژه های ساختمانی خطی

چکیده انگلیسی

In the real world, the majority cases of optimization problems, met by engineers, are composed of several conflicting objectives. This paper presents an approach for a multi-objective optimization model for scheduling linear construction projects. Linear construction projects have many identical units wherein activities repeat from one unit to another. Highway, pipeline, and tunnels are good examples that exhibit repetitive characteristics. These projects represent a large portion of the construction industry. The present model enables construction planners to generate optimal/near-optimal construction plans that minimize project duration, total work interruptions, and total number of crews. Each of these plans identifies, from a set of feasible alternatives, optimal crew synchronization for each activity and activity interruptions at each unit. This model satisfies the following aspects: (1) it is based on the line of balance technique; (2) it considers non-serial typical activities networks with finish–start relationship and both lag or overlap time between activities is allowed; (3) it utilizes a multi-objective genetic algorithms approach; (4) it is developed as a spreadsheet template that is easy to use. Details of the model with visual charts are presented. An application example is analyzed to illustrate the use of the model and demonstrate its capabilities in optimizing the scheduling of linear construction projects.

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