Algorithm of Combined Simplex Search with State Recognition

Authors

  • A. Dambrauskas Vilnius Gediminas Technical University
  • D. Udris Vilnius Gediminas Technical University

Abstract

Searching optimization is usual for objects with unknown or unsolvable mathematical model, and result depends on the efficiency of algorithm. Simplex search has shown good results when optimization object and measurement results are affected by high level noise. Improvement and investigation of simplex search algorithms is an aim of this research. Characteristics of the object can vary in time during optimization process, and the search has to follow the extreme. If the variation is a result of some measurable but noncontrollable parameters, the search can be improved using the information about this variation in past steps and calculating the prognosis, or performing repeated measurements of these parameters and aim value. The influence of multidimensional measurable parameters is estimated in presented algorithm of combined simplex search with state recognition, and characteristics of the optimization process are investigated. Ill. 6, bibl. 6 (in English; summaries in Lithuanian, English, Russian).

Downloads

Published

2008-01-03

How to Cite

Dambrauskas, A., & Udris, D. (2008). Algorithm of Combined Simplex Search with State Recognition. Elektronika Ir Elektrotechnika, 81(1), 11-14. Retrieved from https://eejournal.ktu.lt/index.php/elt/article/view/11024

Issue

Vol. 81 No. 1 (2008)

Section

T 125 AUTOMATION, ROBOTICS

License

The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.

By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.