A Simulated Annealing Approach to the Network Design Problem with Variational Inequality Constraints
The equilibrium network design problem can be formulated as a mathematical program with variational inequality constraints. We know this problem is nonconvex; hence, it is difficult to solve for a globally optimal solution. In this paper we propose a simulated annealing algorithm for the equilibrium...
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Veröffentlicht in: | Transportation science 1992-02, Vol.26 (1), p.18-26 |
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creator | Friesz, Terry L Cho, Hsun-Jung Mehta, Nihal J Tobin, Roger L Anandalingam, G |
description | The equilibrium network design problem can be formulated as a mathematical program with variational inequality constraints. We know this problem is nonconvex; hence, it is difficult to solve for a globally optimal solution. In this paper we propose a simulated annealing algorithm for the equilibrium network design problem. We demonstrate the ability of this algorithm to determine a globally optimal solution for two different networks. One of these describes an actual city in the midwestern United States. |
doi_str_mv | 10.1287/trsc.26.1.18 |
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One of these describes an actual city in the midwestern United States.</description><subject>Algorithms</subject><subject>Annealing</subject><subject>Applied sciences</subject><subject>Cooling</subject><subject>Exact sciences and technology</subject><subject>Ground, air and sea transportation, marine construction</subject><subject>High temperature</subject><subject>Objective functions</subject><subject>Optimal solutions</subject><subject>Simulated annealing</subject><subject>Thermodynamic equilibrium</subject><subject>Transportation demand</subject><subject>Variational inequalities</subject><issn>0041-1655</issn><issn>1526-5447</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1992</creationdate><recordtype>article</recordtype><recordid>eNqFkDtPwzAUhS0EEqWwsSJ5QGKAFF8ndpKxKq9KFSDxWCPHcRqX1C62q6r_nlSBrkx3-L5zrnQQOgcyApqlt8F5OaJ8BCPIDtAAGOURS5L0EA0ISSACztgxOvF-QQiwFNgAVWP8ppfrVgRV4bExSrTazPF4tXJWyAYHi0Oj8LMKG-u-8J3yem7wq7Nlq5Z4o0ODP4XTImhrRIunRn2vu4qwxRNrfHBCm-BP0VEtWq_Ofu8QfTzcv0-eotnL43QynkUyZjREisk0EaSOeSKzqhZpDolSPC5jyWnJclrLqhIxlJxSSPKyBKJIznkWl4ymSRUP0U3fK5313qm6WDm9FG5bACl2CxW7hQrKCygg6_TLXl8JL0VbO2Gk9vsMg5hyknfaRa8tfLBujylLecaAdfy659rU1i39f0-vervR82ajnSr-Yt1Yxku9N38A35SOcA</recordid><startdate>19920201</startdate><enddate>19920201</enddate><creator>Friesz, Terry L</creator><creator>Cho, Hsun-Jung</creator><creator>Mehta, Nihal J</creator><creator>Tobin, Roger L</creator><creator>Anandalingam, G</creator><general>INFORMS</general><general>Transportation Science Section of the Operations Research Society of America</general><general>Institute for Operations Research and the Management Sciences</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19920201</creationdate><title>A Simulated Annealing Approach to the Network Design Problem with Variational Inequality Constraints</title><author>Friesz, Terry L ; Cho, Hsun-Jung ; Mehta, Nihal J ; Tobin, Roger L ; Anandalingam, G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-e5c74a0f364c8dfa7914ee63b3c62b592fcdda31b622149bb10e096683b5274d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Algorithms</topic><topic>Annealing</topic><topic>Applied sciences</topic><topic>Cooling</topic><topic>Exact sciences and technology</topic><topic>Ground, air and sea transportation, marine construction</topic><topic>High temperature</topic><topic>Objective functions</topic><topic>Optimal solutions</topic><topic>Simulated annealing</topic><topic>Thermodynamic equilibrium</topic><topic>Transportation demand</topic><topic>Variational inequalities</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Friesz, Terry L</creatorcontrib><creatorcontrib>Cho, Hsun-Jung</creatorcontrib><creatorcontrib>Mehta, Nihal J</creatorcontrib><creatorcontrib>Tobin, Roger L</creatorcontrib><creatorcontrib>Anandalingam, G</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Transportation science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Friesz, Terry L</au><au>Cho, Hsun-Jung</au><au>Mehta, Nihal J</au><au>Tobin, Roger L</au><au>Anandalingam, G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Simulated Annealing Approach to the Network Design Problem with Variational Inequality Constraints</atitle><jtitle>Transportation science</jtitle><date>1992-02-01</date><risdate>1992</risdate><volume>26</volume><issue>1</issue><spage>18</spage><epage>26</epage><pages>18-26</pages><issn>0041-1655</issn><eissn>1526-5447</eissn><coden>TRSCBJ</coden><abstract>The equilibrium network design problem can be formulated as a mathematical program with variational inequality constraints. We know this problem is nonconvex; hence, it is difficult to solve for a globally optimal solution. In this paper we propose a simulated annealing algorithm for the equilibrium network design problem. We demonstrate the ability of this algorithm to determine a globally optimal solution for two different networks. One of these describes an actual city in the midwestern United States.</abstract><cop>Linthicum, MD</cop><pub>INFORMS</pub><doi>10.1287/trsc.26.1.18</doi><tpages>9</tpages></addata></record> |
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subjects | Algorithms Annealing Applied sciences Cooling Exact sciences and technology Ground, air and sea transportation, marine construction High temperature Objective functions Optimal solutions Simulated annealing Thermodynamic equilibrium Transportation demand Variational inequalities |
title | A Simulated Annealing Approach to the Network Design Problem with Variational Inequality Constraints |
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