ACADSTAFF UGM

CREATION
Title : A coarse-grained parallelization of genetic algorithms
Author :

MUHAMAD RADZI RATHOM (1) Prof. Dr.-Ing. Mhd. Reza M. I. Pulungan, S.Si., M.Sc. (2)

Date : 0 2018
Keyword : Genetic algorithms,Parallelization,Coarse-grained,MPI,GPU Genetic algorithms,Parallelization,Coarse-grained,MPI,GPU
Abstract : 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.
Group of Knowledge : Ilmu Komputer
Original Language : English
Level : Internasional
Status :
Published
Document
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