Результаты поиска по 'minimization':
Найдено статей: 92
  1. Degtyarev A.B., Myo Min S., Wunna K.
    Cloud computing for virtual testbed
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 753-758

    Nowadays cloud computing is an important topic in the field of information technology and computer system. Several companies and educational institutes have deployed cloud infrastructures to overcome their problems such as easy data access, software updates with minimal cost, large or unlimited storage, efficient cost factor, backup storage and disaster recovery, and some other benefits if compare with the traditional network infrastructures. The paper present the study of cloud computing technology for marine environmental data and processing. Cloud computing of marine environment information is proposed for the integration and sharing of marine information resources. It is highly desirable to perform empirical requiring numerous interactions with web servers and transfers of very large archival data files without affecting operational information system infrastructure. In this paper, we consider the cloud computing for virtual testbed to minimize the cost. That is related to real time infrastructure.

    Keywords: cloud computing, cloud storage, modeling of marine environments.
    Views (last year): 7.
  2. Ershov N.M.
    Non-uniform cellular genetic algorithms
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 775-780

    In this paper, we introduce the concept of non-uniform cellular genetic algorithm, in which a number of parameters that affect the operation of genetic operators is dependent on the location of the cells of a given cellular space. The results of numerical comparison of non-uniform cellular genetic algorithms with the standard genetic algorithms, showing the advantages of the proposed approach while minimizing multimodal functions with a large number of local extrema, are presented. The coarse-grained parallel implementation of the non-uniform algorithms using the technology of MPI is considered.

    Keywords: evolutionary algorithms, genetic algorithms, parallel computing.
    Views (last year): 9. Citations: 3 (RSCI).
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