Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/43431
Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Informatika / Informatics (N009)
Author(s): Mackutė-Varoneckienė, Aušra;Žilinskas, Antanas
Title: Multi-objective optimization using parallel computations
Is part of: Information technologies' 2009 : 15th international conference on information and software technologies, IT 2009, Kaunas, Lithuania, April 23-24, 2009: proceedings. Kaunas : Technologija, 2009, [no. 15]
Extent: p. 100-106
Date: 2009
Note: Tomo antraštė: 15th International conference on information and software technologies, IT 2009 : Kaunas, April 23-24, 2009
Keywords: Optimizavimas, daugiaobjektinis;Lygiagretūs skaičiavimai;Skaičiuojamasis tinklelis;Optimization, multiobjective;Parallel computation;Computational grids
Abstract: Applied optimization in process design or optimal control frequently is a multi-criteria problem. There are several approaches to the solution of multi-criteria problems, but the main approach is oriented to construct the Pareto set of the considered problem. In case of nonlinear models this problem is difficult especially if the objective functions are multimodal. Therefore application of parallel methods to solution of this problem is urgent. In the present paper efficiency of several evolutionary algorithms is compared taking into account their parallelization using multi-start model and implementation perspectives on computational grids
Internet: https://hdl.handle.net/20.500.12259/43431
Affiliation(s): Matematikos ir informatikos institutas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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