Title :
Parallel Evolutionary Computing using a cluster for Mathematical Function Optimization
Author :
Valdez, Fevrier ; Melin, Patricia
Author_Institution :
Univ. Autonoma de Baja California Tijuana, Tijuana
Abstract :
In this paper the optimization of complex mathematical functions is studied, applying evolutionary computing methods (particle swarm optimization and genetic algorithms), with the purpose of finding the global minimum of a search space. The simulations of PSO and GAs were made in a cluster of computers, with the purpose of distributing the function in several processors (slaves) and to gather results in the master.
Keywords :
genetic algorithms; particle swarm optimisation; genetic algorithms; mathematical function optimization; parallel evolutionary computing; particle swarm optimization; Acceleration; Computational modeling; Computer simulation; Concurrent computing; Genetic algorithms; Genetic mutations; Optimization methods; Particle swarm optimization; Particle tracking; Power engineering and energy;
Conference_Titel :
Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-1213-7
Electronic_ISBN :
1-4244-1214-5
DOI :
10.1109/NAFIPS.2007.383908
