Title :
Parallel computing application into the particle swarm optimization algorithm used to solve the Job-Shop scheduling problem
Author_Institution :
Inst. of Inf., Slovak Acad. of Sci., Bratislava, Slovakia
Abstract :
Currently, on optimization processes requirements focusing on several parameters are emphasized. Algorithms allowing to find an optimal (near-optimal) solution, are in most cases moving in the large area of possible solutions. Their running requires strong computational support and hunger solution programs to run on multi-core workstation, clusters, grid and clouds. In this article serial and parallel computing of the Job-Shop scheduling problem by using MATLAB distributed computing server is compared.
Keywords :
job shop scheduling; parallel processing; particle swarm optimisation; workstations; MATLAB distributed computing server; hunger solution program; job shop scheduling problem; multicore workstation; parallel computing application; particle swarm optimization algorithm; serial computing; Computational modeling; Films; MATLAB; Mathematical model; Parallel processing; Schedules; Servers;
Conference_Titel :
Intelligent Engineering Systems (INES), 2011 15th IEEE International Conference on
Conference_Location :
Poprad
Print_ISBN :
978-1-4244-8954-1
DOI :
10.1109/INES.2011.5954742
