Beberapa Metode pada Masalah Pemrograman Stokastik

Stochastic programming problem is mathematical problem (linear, integer, mixed integer, and nonlinier) with stochastic element lies data. To get reasonable solution and optimal with its stochastic data is needed several method.  Applicable method in trouble stochastic programming are L-Shape decompo...

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Autores principales: Ihda Hasbiyati, Hasriati Hasriati
Formato: article
Lenguaje:EN
Publicado: Department of Mathematics, UIN Sunan Ampel Surabaya 2017
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Acceso en línea:https://doaj.org/article/abc4b36790434f9d89b4812b95ef778a
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spelling oai:doaj.org-article:abc4b36790434f9d89b4812b95ef778a2021-12-02T17:17:10ZBeberapa Metode pada Masalah Pemrograman Stokastik2527-31592527-316710.15642/mantik.2017.3.2.83-86https://doaj.org/article/abc4b36790434f9d89b4812b95ef778a2017-10-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/167https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167Stochastic programming problem is mathematical problem (linear, integer, mixed integer, and nonlinier) with stochastic element lies data. To get reasonable solution and optimal with its stochastic data is needed several method.  Applicable method in trouble stochastic programming are L-Shape decomposition and lagrange decomposition. Each method can determine optimal solution to troubleshoots stochastic programmingIhda HasbiyatiHasriati HasriatiDepartment of Mathematics, UIN Sunan Ampel SurabayaarticleStochastic programming problems; Robust optimization; Chance-constrained programming; Recourse stochastic programmingMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 3, Iss 2, Pp 83-86 (2017)
institution DOAJ
collection DOAJ
language EN
topic Stochastic programming problems; Robust optimization; Chance-constrained programming; Recourse stochastic programming
Mathematics
QA1-939
spellingShingle Stochastic programming problems; Robust optimization; Chance-constrained programming; Recourse stochastic programming
Mathematics
QA1-939
Ihda Hasbiyati
Hasriati Hasriati
Beberapa Metode pada Masalah Pemrograman Stokastik
description Stochastic programming problem is mathematical problem (linear, integer, mixed integer, and nonlinier) with stochastic element lies data. To get reasonable solution and optimal with its stochastic data is needed several method.  Applicable method in trouble stochastic programming are L-Shape decomposition and lagrange decomposition. Each method can determine optimal solution to troubleshoots stochastic programming
format article
author Ihda Hasbiyati
Hasriati Hasriati
author_facet Ihda Hasbiyati
Hasriati Hasriati
author_sort Ihda Hasbiyati
title Beberapa Metode pada Masalah Pemrograman Stokastik
title_short Beberapa Metode pada Masalah Pemrograman Stokastik
title_full Beberapa Metode pada Masalah Pemrograman Stokastik
title_fullStr Beberapa Metode pada Masalah Pemrograman Stokastik
title_full_unstemmed Beberapa Metode pada Masalah Pemrograman Stokastik
title_sort beberapa metode pada masalah pemrograman stokastik
publisher Department of Mathematics, UIN Sunan Ampel Surabaya
publishDate 2017
url https://doaj.org/article/abc4b36790434f9d89b4812b95ef778a
work_keys_str_mv AT ihdahasbiyati beberapametodepadamasalahpemrogramanstokastik
AT hasriatihasriati beberapametodepadamasalahpemrogramanstokastik
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