Advertisement

Evolutionary method in discrete programming

  • Ewa Dudek-Dyduch
Conference paper
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 84)

Abstract

The paper deals with the two-level partially stochastic optimization method named evolutionary method. The aim of the paper is to present a formal description of the method and its application in discrete programming. The algorithm for planning of investments in chemical industry, based on the method, has been presented.

Keywords

Evolutionary Algorithm Performance Index Evolutionary Method Formal Description Optimization Task 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Dudek-Dyduch, E. An Evolutional Optimization Method of Industry Branch. Zeszyty Naukowe AGH No 146 pp.83–91, Kraków 1981Google Scholar
  2. 2.
    Dudek-Dyduch, E. On Evolutionary Algorithm. Proc.1-st IASTED Symp. on Applied Informatics vol.III p.37, Lille France 1983Google Scholar
  3. 3.
    Wala, K. Symulacyjne metody optymalizacji dyskretnych procesów produkcyjnych. Zeszyty Naukowe AGH z.21, Kraków 1979Google Scholar

Copyright information

© Springer-Verlag 1986

Authors and Affiliations

  • Ewa Dudek-Dyduch
    • 1
  1. 1.Institute of Automatic Control and Systems EngineeringUniversity of Mining and MetallurgyKrakówPoland

Personalised recommendations