About: Solving stochastic programming problems using modified differential evolution algorithms

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Stochastic (or probabilistic) programming (SP) is an optimization technique in which the constraints and/or the objective function of an optimization problem contain random variables. The mathematical models of these problems may follow any particular probability distribution for model coefficients. The objective here is to determine the proper values for model parameters influenced by random events. In this study, two modified differential evolution (DE) algorithms namely, LDE1 and LDE2 are used for solving SP problems. Two models of SP problems are considered; Stochastic Fractional Programming Problems and Multiobjective Stochastic Linear Programming Problems. The numerical results obtained by the LDE algorithms are compared with the results of basic DE, basic particle swarm optimization (PSO) and the available results from where it is observed that the LDE algorithms significantly improve the quality of solution of the considered problem in comparison with the quoted results in the literature. 2011 The Author. Published by Oxford University Press. All rights reserved. Stochastic (or probabilistic) programming (SP) is an optimization technique in which the constraints and/or the objective function of an optimization problem contain random variables. The mathematical models of these problems may follow any particular probability distribution for model coefficients. The objective here is to determine the proper values for model parameters influenced by random events. In this study, two modified differential evolution (DE) algorithms namely, LDE1 and LDE2 are used for solving SP problems. Two models of SP problems are considered; Stochastic Fractional Programming Problems and Multiobjective Stochastic Linear Programming Problems. The numerical results obtained by the LDE algorithms are compared with the results of basic DE, basic particle swarm optimization (PSO) and the available results from where it is observed that the LDE algorithms significantly improve the quality of solution of the considered problem in comparison with the quoted results in the literature. 2011 The Author. Published by Oxford University Press. All rights reserved. (en)
Title	Solving stochastic programming problems using modified differential evolution algorithms Solving stochastic programming problems using modified differential evolution algorithms (en)
skos:prefLabel	Solving stochastic programming problems using modified differential evolution algorithms Solving stochastic programming problems using modified differential evolution algorithms (en)
skos:notation	RIV/61989100:27240/12:86092944!RIV15-MSM-27240___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...iv/cisloPeriodika	4
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Abraham Padath, Ajith
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	169169
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/12:86092944
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Stochastic programming; Multiobjective optimization; Fractional programming; Differential evolution (en)
http://linked.open.../riv/klicoveSlovo	Differential evolution Stochastic programming Multiobjective optimization Fractional programming
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[5C95187B54F3]
http://linked.open...i/riv/nazevZdroje	Logic journal of IGPL
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	20
http://linked.open...iv/tvurceVysledku	Abraham Padath, Ajith Pant, M. Bouvry, P. Thangaraj, R.
http://linked.open...ain/vavai/riv/wos	000306410500010
issn	1367-0751
number of pages	15 (xsd:int)
http://bibframe.org/vocab/doi	10.1093/jigpal/jzr017
http://localhost/t...ganizacniJednotka	27240

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