mosa meta-heuristic algorithm

Today, project-oriented organizations have several parallel projects that can start planning in parallel, and most of these companies are facing funding crises in order for projects to be successful. On the other hand, by completing executive projects. And assigning it to a sponsor or employer brings a good profit to the organization. In case of improper selection of projects to start and lack of integration between financial resources, in addition to causing loss of resources and energy of the organization, it will cause failure of the organizational structure and stop current projects and create much higher losses in the organization. Therefore, in this research, a multi-objective MINLP mathematical model was presented. The mathematical model of this research includes multiple objectives of maximizing the profit from the selection of the production project, minimizing the cost and implementation risk of the projects. Also, information about the parameters of the mathematical model based on the receipt from the Kayson construction and production company has been used. Finally, the proposed model was evaluated and validated by two algorithms, MOSA and MOKA. In the validation performed in the study and based on the performance of the optimal solutions, it was shown that the MOSA algorithm is more efficient.