The report addresses the management of parallel processes and synchronization in concurrent systems, highlighting common problems in accessing shared resources that affect efficiency and stability. It also highlights the need to optimize the management of large volumes of data and improve academic cooperation to develop advanced solutions.The objective of the study is to identify and analyze synchronization strategies that optimize parallel processes, evaluating their effectiveness in different scenarios and offering recommendations based on recent literature. A systematic review was conducted using the PRISMA methodology, selecting relevant articles published in the last five years and formulating key questions to guide the analysis. The results highlight that non-blocking strategies are more effective for managing shared resources, and techniques such as the use of mutex and actor mode...

New versions of the metaheuristic Multi-Particle Collision Algorithm (MPCA) are presented. In order to provide more effective candidate solutions for an optimization problem, the concept of opposition and reflection is introduced to improve the capacity to find a solution in the search space. Four different strategies to compute the reflected and opposite points are implemented. The performance of all implementations is evaluated over thirty objective functions with different complexities, using serial and parallel versions of the algorithms.

New versions of the metaheuristic Multi-Particle Collision Algorithm (MPCA) are presented. In order to provide more effective candidate solutions for an optimization problem, the concept of opposition and reflection is introduced to improve the capacity to find a solution in the search space. Four different strategies to compute the reflected and opposite points are implemented. The performance of all implementations is evaluated over thirty objective functions with different complexities, using serial and parallel versions of the algorithms.