Strategies for Parallel Genetic Computation of Optimization Problems
Plаmеnkа Borovskа, Milena Kirilova Lazarova, S. Bahudejla · Biotechnology & Biotechnological Equipment · 2007
This paper explores the efficiency of various strategies for parallel genetic computation of optimization problems on multicomputer platforms. The strategies for designing parallel genetic algorithms on multicomputer platforms are investigated considering the correlations of the algorithmic and the architectural spaces. Two parallel genetic computational models are considered based on the manager/workers and Single Program Multiple Data parallel paradigms. Parallelism profiling and analysis of parallel system performance have been made for the different parallel computational models in respect to the scalability of the application and the scalability of the parallel machine size.