Parallel approaches to stochastic global optimization
| Author(s) : | Gunter Rudolph, |
| Publisher : | N/A |
| Publication Date : | 1992 |
| ISSN : | N/A |
| Abstract : | In this paper we review parallel implementations of some stochastic global optimization methods on MIMD computers. Moreover, we present a new parallel version of an Evolutionary Algorithm for global optimization, where the inherent parallelism can be scaled to obtain a reasonable processor utilization. For this algorithm the convergence to the global optimum with probability one can be assured. Test results concerning speed up and reliability are given. 1, |