Application of genetic algorithms in the calculation of the optimal plan the distribution of goods

Authors

  • А. А. Никульченко National Technical University "Kharkiv Polytechnic Institute", Kharkiv, Ukraine

DOI:

https://doi.org/10.20998/%25x

Abstract

Composed method of dynamic programming and genetic algorithms suggested to find the optimal
plan  of  distribution  of  the  goods  in  multinomenclature  systems  with  multiple  distribution  points  and
restrictions on shipments. The implementation of the proposed algorithm is completed and tested on real
data.

Author Biography

А. А. Никульченко, National Technical University "Kharkiv Polytechnic Institute", Kharkiv

Асистент кафедри КМММ НТУ "ХПІ"

References

Martello S., Toth P. Knapsack problems. Algorithms and Computer Implementations / Martello S., Toth P. – John Wiley & Sons, 1990. – 306 с.

Pisinger D. Algorithms for Knapsack Problems / Pisinger D. – Ph.D. thesis, 1995. – 200 c.

Батищев Д. И., Неймарк Е. А., Старостин Н. В. Применение генетических алгоритмов к решению задач дискретной оптимизации / Батищев Д. И., Неймарк Е. А., Старостин Н. В. – [Электронный ресурс]:

http://m.chorus-nnsu.ru/pages/e-library/aids/2007/15.pdf

Авдеев А. А. Применение генетических алгоритмов к задачам оптимизации. / Авдеев А. А. // Технические науки – 2008. – № 2. – С. 110–

Downloads

Published

2013-11-22

How to Cite

Никульченко, А. А. (2013). Application of genetic algorithms in the calculation of the optimal plan the distribution of goods. Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies, (62), 15–20. https://doi.org/10.20998/%x

Issue

No. 62 (2013)

Section

SYSTEM ANALYSIS AND DECISION-MAKING THEORY

License

Copyright (c) 2015 Вісник Національного технічного університету «ХПІ». Серія: Системний аналiз, управління та iнформацiйнi технологiї

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).