خلاصة:
: Nowadays, organizations are faced with a multitude of project and investment opportunities. Despite the importance of various criteria, complexity of multi-objective models and weakness of optimization algorithms often compelled manager to limit the selection criteria or only suffice to financial objects. In this paper, it is endeavored to extend selection criteria by using an efficient optimization algorithm based on teaching-learning process, which makes it possible to solve the proposed 0-1 multi-objective programing model. Finally efficiency of the applied algorithm called TLBO is compared with PSO and GA by applying the proposed model in a project oriented organization. It was shown that TLBO is better than GA and PSO algorithm technique, which was used before in such problems.
ملخص الجهاز:
In this article, by utilizing an efficient algorithm based on the teaching and learning process, in addition to financial criteria, factors such as the organization's ability to successfully implement projects, the extent to which organizational strategies are realized through selected projects, and the mutual impact of the selected projects on each other are investigated and optimized within a zero-one multi-objective programming model.
The main objectives of the present research are to model the problem of project portfolio selection considering multiple criteria and to optimize it based on an optimization algorithm based on teaching and learning.
In contrast, a number of researchers have used decision support systems to select the optimal project portfolio (Khalili Damghani, Saadi Nejad, Aryan Zhad, 2011; Qasemzadeh & Archer, 2000; Tian, Ma, Leung, Kuok & Liu, 2005).
In this article, an attempt has been made to model the problem of selecting a project portfolio by integrating the main criteria and goals presented by Cooper & Ijiri (2008) and Schnar, Dwyer, Luy & Maltz (2001) and then optimize it using a self-optimizing algorithm based on teaching and learning.
Examining Goals and Forming Objective Functions As explained, in this research, in addition to financial criteria, the organization's ability to successfully execute projects, the degree of alignment of the project with organizational strategies, and the reciprocal effect between projects are also considered in selecting the optimal portfolio.
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