Paper title: Parallel Cooperative Models for Optimization Problems
Published in: Issue 1, (Vol. 7) / 2013Download
Publishing date: 2013-04-16
Pages: 16-19
Author(s): BALAN Ionut, PENTIUC Stefan Gh.
Abstract. In some cases, solving of an optimization problem is a challenge for any researcher. Often, getting a solution for such a problem involves the necessity of computing systems usage. In the complex problems case, the classical systems lose their utility, problem resolution becoming possible by parallel architectures usage. These, combined with different cooperative techniques, can lead to getting, in a little execution time, of satisfactory results for any problem. In this paper, we compare the results obtained for an optimization problem, solved by using two intelligent technique (ANT – ANT colony algorithm, AG – genetic algorithms) which cooperate on a parallel architecture
Keywords: Parallel Computing, Cooperative, Genetic Algorithms, Ant Colony, Optimization
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