موازنة زمان- هزینه برای بیشینه‌سازی ارزش خالص فعلی پیمانکار با الگو‌های پرداخت هزینه و محدودیت منابع با استفاده از الگوریتم‌های تکاملی (مطالعة موردی: بخش محدودی از پروژة احداث پالایشگاه میعانات گازی بندرعباس)

Abstract

Selecting the best alternative to project activity is important in project scheduling so that the cost and the time of project should be consistent with the contractor or the employer. Note that, we have many activities in projects and also there are many alternatives to select. The selected alternative doesn’t lead to unique solution but includes a set of solutions in which there are no priorities. So in this paper, we propose a mathematical model of project scheduling with multiple objectives based on cost payment and resource constraint patterns. Since the proposed model is the combinatorial optimization problem and is a NP-hard problem, so we propose the multi-objective evolutionary algorithms such as NSGA-II and MOPSO to solve this problem. Also, the performance of the proposed algorithm is evaluated through the comparative criteria. Finally, to examine the validity of the proposed scheme, we compare the Meta-heuristic results with the exact solution from GAMS software, and the results show the satisfactory performance of the proposed algorithm.

Keywords

• comparative indicators
• Evolutionary algorithms
• NPV maximizing
• payment patterns
• Project scheduling
• resource constraints