Particle Swarm Optimization (PSO) has recently emerged as a nature inspired algorithm for real parameter optimization. This article describes a method for improving the final accur...
We describe the design and implementation of a clustering service for a high-performance, shared-disk file system. The service provides failure detection and recovery, reliable e...
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
Genetic Algorithms have widely been used for solving optimization problems in stationary environments. In recent years, there has been a growing interest for investigating and imp...
This article presents a robust EDA for global optimization with real parameters. The approach is based on the linear combination of individuals of two populations. One is the curr...