Project Portfolio Selection with the Maximization of Net Present Value
سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 333
فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JOIE-6-12_008
تاریخ نمایه سازی: 22 آبان 1397
چکیده مقاله:
The aim of this study is to present an efficient solving method for the project portfolio selection problem. The objective is to maximize the net present value (NPV) of the project portfolio. The problem is first modeled mathematically. Then, two metaheuristics, the genetic algorithm and simulated annealing, are applied to solve this NP-hard problem. Finally, a comprehensive computational experiment is performed on a set of instances. The results of the computational experiment show that the genetic algorithm performs better than the simulated annealing algorithm
کلیدواژه ها:
نویسندگان
Mostafa Nikkhahnasab
MSc, Faculty of Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Amir Abbas Najafi
Assistant Professor, Faculty of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran