Research and development (R&D) project portfolio selection plays a crucial role in growth and development of any organization. With many objectives even conflicting, constraints, and interrelations between portfolio’s attributes that the portfolio needs to satisfy make the present problem difficult for the decision makers and managers to select the best solution. Selecting and scheduling simultaneously will enhance the ability of finding out the global optimal solution that can overcome the local shortage of resources. However, there is a lack of models and methods to solve such problem completely. This dissertation constituted a general mathematical model for selecting and scheduling R&D project portfolio with multi-objective simultaneously. Furthermore, a Multi-objective Genetic Algorithm was proposed to solve the constructed model. Decision maker can base on the derived solutions and their preferences to select the project portfolio effectively.

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