کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
568112 1452170 2010 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An efficient genetic algorithm to maximize net present value of project payments under inflation and bonus–penalty policy in resource investment problem
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
پیش نمایش صفحه اول مقاله
An efficient genetic algorithm to maximize net present value of project payments under inflation and bonus–penalty policy in resource investment problem
چکیده انگلیسی

In order to develop a more realistic resource-constrained project-scheduling model that is applicable to real-world projects, in this paper, the resource investment problem with discounted cash flows and generalized precedence relations is investigated under inflation factor such that a bonus–penalty structure at the deadline of the project is imposed to force the project not to be finished beyond the deadline. The goal is to find activity schedules and resource requirement levels that maximize the net present value of the project cash flows. The problem is first mathematically modeled. Then, a genetic algorithm (GA) is designed using a new three-stage process that utilizes design of experiments and response surface methodology. The results of the performance analysis of the proposed methodology show an effective solution approach to the problem.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advances in Engineering Software - Volume 41, Issues 7–8, July–August 2010, Pages 1023–1030
نویسندگان
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