Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 2 1 2012 05 21 Project Portfolio Selection with Considering Interaction Between Projects using Particle Swarm Optimization (PSO) & Chaotic Dynamic Project Portfolio Selection with Considering Interaction Between Projects using Particle Swarm Optimization (PSO) & Chaotic Dynamic 27 48 87349 FA Hassan Farsijani Associate Professor, Shahid Beheshti University. Mostafa Fattahi M.S, Shahid Beheshti University. Mohammad Hossein Noroozi M.S, Allameh Tabataba'i University. Journal Article 2019 10 03 Given the complexity of the project implementation and resource constraints, the project portfolio selection is important for organization-s. Hence, many researchers have attempted to provide methods for portfolio selection and often obtained interesting results. But most of them have not considered the interaction between projects. Considering the interactions between projects lead to complexity of portfolio selection problem and if these interactions be ignored, the decision making process maybe produce the undesired final results. In this paper, the portfolio selection problem with considering interactions between the projects is formulated. The portfolio selection problem with regard the interactions between projects using optimization algorithms particle swarm optimization (PSO) andchaotic particle swarm optimization (CPSO) was investigated. Interactions at the projects selection, final solution and its fitness show the important effects. It was shown that the PSO and CPSO methods are better in comparison with the genetic algorithm technique used before in such problems. Given the complexity of the project implementation and resource constraints, the project portfolio selection is important for organization-s. Hence, many researchers have attempted to provide methods for portfolio selection and often obtained interesting results. But most of them have not considered the interaction between projects. Considering the interactions between projects lead to complexity of portfolio selection problem and if these interactions be ignored, the decision making process maybe produce the undesired final results. In this paper, the portfolio selection problem with considering interactions between the projects is formulated. The portfolio selection problem with regard the interactions between projects using optimization algorithms particle swarm optimization (PSO) andchaotic particle swarm optimization (CPSO) was investigated. Interactions at the projects selection, final solution and its fitness show the important effects. It was shown that the PSO and CPSO methods are better in comparison with the genetic algorithm technique used before in such problems. https://jimp.sbu.ac.ir/article_87349_ca03a15a8684a3835cd68e2e31990d3c.pdf