PARALLEL IMMUNE ALGORITHM OF SHORT-TERM FORECASTING BASED ON MODEL OF CLONAL SELECTION

Authors

  • N. M. Korablev Kharkiv National University or Radio Electronics,Ukraine, Ukraine
  • G. S. Ivaschenko Kharkiv National University or Radio Electronics,Ukraine, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2014-2-11

Keywords:

forecasting, time series, artificial immune systems, clonal selection model, antibody, antigen, affinity, cloning, mutation.

Abstract

The paper studies ways of parallelization of hybrid immune algorithm of short-term forecasting of time series built on the basis of clonal selection model that uses case-based reasoning and the simplest methods of forecasting. There has been analysis performed of two variants of parallelization having different procedure of messaging between the computational nodes. To implement proposed algorithm used MPI.NET technology for messaging systems. To optimize individual computational nodes operations, TPL library for shared memory systems is used. The work presents results of experimental investigations demonstrating efficiency of the proposed approach.

References

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Published

2014-11-05

How to Cite

Korablev, N. M., & Ivaschenko, G. S. (2014). PARALLEL IMMUNE ALGORITHM OF SHORT-TERM FORECASTING BASED ON MODEL OF CLONAL SELECTION. Radio Electronics, Computer Science, Control, (2). https://doi.org/10.15588/1607-3274-2014-2-11

Issue

No. 2 (2014): Radio Electronics, Computer Science, Control

Section

Neuroinformatics and intelligent systems

License

Copyright (c) 2015 N. M. Korablev, G. S. Ivaschenko

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