Application of Stochastic Imitation Algorithm for Solving a Problem of Investment Programs Formation

Authors

  • Тите Давидович Ахобадзе St. Petersburg State University, 7–9, Universitetskaya nab., St. Petersburg, 199034, Russian Federation

Abstract

The article is devoted to the review of solving algorithms to the special problem of investment programs substantiation under a possibility of making decisions on investment projects realization to be postponed. It is proved that the task belongs to the NP-complete class, and one of stochastic imitation methods getting an approximate plan is considered. Results of experimental calculations allowing to compare an efficiency of the offered algorithm of problem solving with common algorithms are presented.

Keywords:

investment programs, stochastic imitation algorithm, results of experimental calculations

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Author Biography

Тите Давидович Ахобадзе, St. Petersburg State University, 7–9, Universitetskaya nab., St. Petersburg, 199034, Russian Federation

аспирант, младший научный сотрудник

References

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References in Latin Alphabet

Aarts E. H. L., Korst J. H. M., Laarhoven van P. J. M. Simulated annealing. Local search in combinatorial optimization. Wiley, 1997. Р. 91–120.

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Translation of references in Russian into English

Published

2009-09-30

How to Cite

Ахобадзе, Т. Д. (2009). Application of Stochastic Imitation Algorithm for Solving a Problem of Investment Programs Formation. St Petersburg University Journal of Economic Studies, (3), 148–153. Retrieved from https://economicsjournal.spbu.ru/article/view/3426

Issue

Section

Short Scientific Reports