期刊名称：The USV Annals of Economics and Public Administration
印刷版ISSN：2344-3847
出版年度：2014
卷号：14
期号：2
页码：168-176
语种：English
出版社：Editura Universitatii Ştefan cel Mare din Suceava
摘要：This paper presents different models of hybrid algorithms that can be run on parallel architectures being used in optimization problems solving. In these models we used several techniques: genetic algorithms, ant colony and tabu search. Optimization problems can achieve a high degree of complexity, which is the main reason for the necessity of using of these methods in such incursions. With their cooperation, we tried to obtain satisfactory results in much better running time than the sequential versions. These models have been run using various parallel configurations on a cluster cores, which belong to „Stefan cel Mare” University. The results obtained for these models were compared with each other and with the results obtained for models described in other personal papers. The paper highlights the advantages of the parallel hybrid cooperation in solving of complex optimization problems. This paper is structured in four chapters: Introduction, Cooperative heterogeneous model, Cooperative hybrid models and Conclusions.
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