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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F10%3A86075974%21RIV11-MSM-27240___
rdf:type
skos:Concept n19:Vysledek
dcterms:description
Stochastic (or probabilistic) programming is an optimization technique in which the constraints and/or the objective function of an optimization problem contains 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, Differential Evolution (DE) and its two recent variants LDE1 and LDE2 are presented for solving multi objective linear stochastic programming (MOSLP) problems, having several conflicting objectives. The numerical results obtained by DE and its variants are compared with the available results from where it is observed that the DE and its variants significantly improve the quality of solution of the given considered problem in comparison with the quoted results in the literature. Stochastic (or probabilistic) programming is an optimization technique in which the constraints and/or the objective function of an optimization problem contains 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, Differential Evolution (DE) and its two recent variants LDE1 and LDE2 are presented for solving multi objective linear stochastic programming (MOSLP) problems, having several conflicting objectives. The numerical results obtained by DE and its variants are compared with the available results from where it is observed that the DE and its variants significantly improve the quality of solution of the given considered problem in comparison with the quoted results in the literature.
dcterms:title
Solving Multi Objective Stochastic Programming Problems Using Differential Evolution Solving Multi Objective Stochastic Programming Problems Using Differential Evolution
skos:prefLabel
Solving Multi Objective Stochastic Programming Problems Using Differential Evolution Solving Multi Objective Stochastic Programming Problems Using Differential Evolution
skos:notation
RIV/61989100:27240/10:86075974!RIV11-MSM-27240___
n3:aktivita
n11:S
n3:aktivity
S
n3:dodaniDat
n8:2011
n3:domaciTvurceVysledku
Abraham Padath, Ajith
n3:druhVysledku
n5:D
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
288559
n3:idVysledku
RIV/61989100:27240/10:86075974
n3:jazykVysledku
n7:eng
n3:klicovaSlova
Evolution; Differential; Using; Problems; Programming; Stochastic; Objective; Multi; Solving
n3:klicoveSlovo
n4:Problems n4:Solving n4:Multi n4:Differential n4:Stochastic n4:Using n4:Evolution n4:Programming n4:Objective
n3:kontrolniKodProRIV
[0746D0492C3B]
n3:mistoKonaniAkce
Indie
n3:mistoVydani
Berlín
n3:nazevZdroje
SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING
n3:obor
n17:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
4
n3:rokUplatneniVysledku
n8:2010
n3:tvurceVysledku
Pant, Millie Abraham Padath, Ajith Thangaraj, Radha Bouvry, Pascal
n3:typAkce
n10:WRD
n3:wos
000286284400007
n3:zahajeniAkce
2010-12-16+01:00
s:issn
0302-9743
s:numberOfPages
8
n16:hasPublisher
Springer Heidelberg
n9:isbn
978-3-642-17562-6
n18:organizacniJednotka
27240