Kriging metamodeling in multi-objective simulation optimization
This paper describes an experiment exploring the potential of kriging metamodeling for multi-objective simulation optimization. The experiment studies an (s, S) inventory system with the objective of finding the optimal values of reorder point s and maximum inventory level S so as to minimize the to...
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| creator | Zakerifar, Mehdi Biles, William E. Evans, Gerald W. |
| description | This paper describes an experiment exploring the potential of kriging metamodeling for multi-objective simulation optimization. The experiment studies an (s, S) inventory system with the objective of finding the optimal values of reorder point s and maximum inventory level S so as to minimize the total cost of the system while maximizing customer satisfaction. This experiment compares classical response surface methodology to kriging metamodeling as experimental approaches. The results of this experiment indicate that kriging metamodeling offers new opportunities for solving multi-objective optimization problems in stochastic simulation. |
| doi_str_mv | 10.5555/1995456.1995746 |
| format | Conference Proceeding |
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The experiment studies an (s, S) inventory system with the objective of finding the optimal values of reorder point s and maximum inventory level S so as to minimize the total cost of the system while maximizing customer satisfaction. This experiment compares classical response surface methodology to kriging metamodeling as experimental approaches. The results of this experiment indicate that kriging metamodeling offers new opportunities for solving multi-objective optimization problems in stochastic simulation.</description><identifier>ISBN: 9781424457717</identifier><identifier>ISBN: 1424457718</identifier><identifier>DOI: 10.5555/1995456.1995746</identifier><language>eng</language><publisher>Winter Simulation Conference</publisher><subject>Information systems ; Information systems -- Data management systems ; Information systems -- Data management systems -- Database administration ; Information systems -- Data management systems -- Database administration -- Data dictionaries ; Theory of computation ; Theory of computation -- Design and analysis of algorithms ; Theory of computation -- Design and analysis of algorithms -- Mathematical optimization</subject><ispartof>Winter Simulation Conference, 2009, p.2115-2122</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,776,780,785,786,27904</link.rule.ids></links><search><creatorcontrib>Zakerifar, Mehdi</creatorcontrib><creatorcontrib>Biles, William E.</creatorcontrib><creatorcontrib>Evans, Gerald W.</creatorcontrib><title>Kriging metamodeling in multi-objective simulation optimization</title><title>Winter Simulation Conference</title><description>This paper describes an experiment exploring the potential of kriging metamodeling for multi-objective simulation optimization. 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The results of this experiment indicate that kriging metamodeling offers new opportunities for solving multi-objective optimization problems in stochastic simulation.</description><subject>Information systems</subject><subject>Information systems -- Data management systems</subject><subject>Information systems -- Data management systems -- Database administration</subject><subject>Information systems -- Data management systems -- Database administration -- Data dictionaries</subject><subject>Theory of computation</subject><subject>Theory of computation -- Design and analysis of algorithms</subject><subject>Theory of computation -- Design and analysis of algorithms -- Mathematical optimization</subject><isbn>9781424457717</isbn><isbn>1424457718</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid/><recordid>eNqVjrEOgjAURV9iTDTK7NrRRaTSUpgcjMbE1b0pWMhDSg2tDn69YPgAvcvJvbnDAVjRKOR9tjTLOONJOFCwZAJBJlLKdoxxIaiYQeBcHfVhcSpEMof9pcMK24oY7ZWxN90MBVtino3Hjc1rXXh8aeKwX5RH2xL78Gjw_S1LmJaqcToYuYD16Xg9nDeqMDK39u4kjeTgJkc3ObrFf13DH68y71CX8Qcy40x7</recordid><startdate>20091213</startdate><enddate>20091213</enddate><creator>Zakerifar, Mehdi</creator><creator>Biles, William E.</creator><creator>Evans, Gerald W.</creator><general>Winter Simulation Conference</general><scope/></search><sort><creationdate>20091213</creationdate><title>Kriging metamodeling in multi-objective simulation optimization</title><author>Zakerifar, Mehdi ; Biles, William E. ; Evans, Gerald W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-acm_books_10_5555_1995456_19957463</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Information systems</topic><topic>Information systems -- Data management systems</topic><topic>Information systems -- Data management systems -- Database administration</topic><topic>Information systems -- Data management systems -- Database administration -- Data dictionaries</topic><topic>Theory of computation</topic><topic>Theory of computation -- Design and analysis of algorithms</topic><topic>Theory of computation -- Design and analysis of algorithms -- Mathematical optimization</topic><toplevel>online_resources</toplevel><creatorcontrib>Zakerifar, Mehdi</creatorcontrib><creatorcontrib>Biles, William E.</creatorcontrib><creatorcontrib>Evans, Gerald W.</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zakerifar, Mehdi</au><au>Biles, William E.</au><au>Evans, Gerald W.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Kriging metamodeling in multi-objective simulation optimization</atitle><btitle>Winter Simulation Conference</btitle><date>2009-12-13</date><risdate>2009</risdate><spage>2115</spage><epage>2122</epage><pages>2115-2122</pages><isbn>9781424457717</isbn><isbn>1424457718</isbn><abstract>This paper describes an experiment exploring the potential of kriging metamodeling for multi-objective simulation optimization. The experiment studies an (s, S) inventory system with the objective of finding the optimal values of reorder point s and maximum inventory level S so as to minimize the total cost of the system while maximizing customer satisfaction. This experiment compares classical response surface methodology to kriging metamodeling as experimental approaches. The results of this experiment indicate that kriging metamodeling offers new opportunities for solving multi-objective optimization problems in stochastic simulation.</abstract><pub>Winter Simulation Conference</pub><doi>10.5555/1995456.1995746</doi></addata></record> |
| fulltext | fulltext |
| identifier | ISBN: 9781424457717 |
| ispartof | Winter Simulation Conference, 2009, p.2115-2122 |
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| language | eng |
| recordid | cdi_acm_books_10_5555_1995456_1995746 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Information systems Information systems -- Data management systems Information systems -- Data management systems -- Database administration Information systems -- Data management systems -- Database administration -- Data dictionaries Theory of computation Theory of computation -- Design and analysis of algorithms Theory of computation -- Design and analysis of algorithms -- Mathematical optimization |
| title | Kriging metamodeling in multi-objective simulation optimization |
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