Parallel Evolutionary Computing using a cluster for Mathematical Function Optimization
Fevrier Valdez, Patricia Melín · 2007
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.