Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/44000
Type of publication: Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)
Field of Science: Informatika / Informatics (N009)
Author(s): Žilinskas, Antanas;Mackutė, Aušra
Title: On optimization over a small implicitly defined feasible region
Is part of: Proceedings of the 15th International Conference on System Science: 7-10 September 2004. Vol. 1, Plenary and invited papers systems theory identification. Wroclaw, Poland : Oficyna Wydawnicza Politechniki Wrocławskiej, 2004
Extent: p. 297-304
Date: 2004
Keywords: Evolutionary optimization;Random search;Implicit constraints;Small feasible region;Test problems
ISBN: 837085804X
Abstract: In some applications there occurs optimization problems with small implicitly defined feasible regions and with objective functions not defined outside of the feasible regions. The problems we wish to consider pose a further challenge. The objective function may be non-differentiable and even discontinuous. The problems of interest are normally obtained by means of computer simulation causing some discontinuities and small noise added to the function values. A set of test functions is proposed generalizing the properties of a known problem of optimal process design in oil industry. Several algorithms aimed to the described problemare proposed and implemented. The algorithms are compared experimentally using the proposed testing functions and the mentioned practical problem. The testing results are presented and discussed
Internet: https://hdl.handle.net/20.500.12259/44000
Affiliation(s): Matematikos ir informatikos institutas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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