A coarse-grained parallelization of genetic algorithms

• Main Authors: Muhamad Radzi Rathomi, Reza Pulungan
• Format: Article
• Language: English
• Published: Universitas Ahmad Dahlan 2018-03-01
• Series: IJAIN (International Journal of Advances in Intelligent Informatics)
• Subjects: Genetic algorithms; Parallelization; Coarse-grained; MPI; GPU
• Online Access: http://ijain.org/index.php/IJAIN/article/view/137

Genetic algorithms are frequently used to solve optimization problems. However, the problems become increasingly complex and time consuming. One solution to speed up the genetic algorithm processing is to use parallelization. The proposed parallelization method is coarse-grained and employs two levels of parallelization: message passing with MPI and Single Instruction Multiple Threads with GPU. Experimental results show that the accuracy of the proposed approach is similar to the sequential genetic algorithm. Parallelization with coarse-grained method, however, can improve the processing and convergence speed of genetic algorithms.