Performance Evaluation of Optimization Algorithms based on GPU using CUDA Architecture
Yunkio Kawano, Fevrier Valdez, Oscar Castillo · 2018
In this paper, an evaluation was made on the performance of two of the most commonly used optimization algorithms, which are the Particle Swarm Optimization (PSO) algorithm and the Genetic Algorithm (GA). In this case, average time of execution is compared, executing the algorithm using the original code on the traditional processor against the modified algorithm where certain processes of the algorithm are integrated into the video card. These changes demonstrate a significant improvement in execution time. On the other hand a graphical interface was made for each one of the optimization algorithms to facilitate the process of handling the parameters.