CONSTRUCTION OF PARALLEL SOFTWARE AGENTS’S BEHAVIOUR ALGORITHMS BY METHODS OF GENETIC PROGRAMMING


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Abstract

The way of parallel algorithm’s construction on the basis of matrix intermediate structure with the use of the description of algorithm in the form of treelike structure is offered. Operations over the treelike structures are entered, allowing to produce parallel algorithms by methods of genetic programming. Logic levels on which evolution of algorithms of software agent’s behaviors proceeds are described and considered.

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ПОСТРОЕНИЕ ПАРАЛЛЕЛЬНЫХ АЛГОРИТМОВ ПОВЕДЕНИЯ ПРОГРАММНЫХ АГЕНТОВ МЕТОДАМИ ГЕНЕТИЧЕСКОГО ПРОГРАММИРОВАНИЯ
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About the authors

E. A Kolchugina

Email: kea_sci@list.ru

References

  1. Кольчугина Е.А. Эволюция расписаний как средство разработки параллельного алгоритма поведения цифрового организма // Известия вузов. Поволжский регион. Технические науки. №1(5), 2008. С. 45-52.
  2. Гладков Л.А., Курейчик В.В., Курейчик В.М. Генетические алгоритмы. М.: ФИЗМАТ-ЛИТ, 2006. 320 с.
  3. Koza J.R., Bennett F.H, Andre D., Keane M.A. Genetic Programming: Biologically Inspired Computation that Creatively Solves Non-Trivial Problems // Evolution as Computation. DIMACS Workshop. Princeton, January 1999. Heidelberg: Springer-Verlag, 2001. P. 15-44.

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Copyright (c) 2012 Kolchugina E.A.

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