A simulated annealing approach for the capacitated minimum spanning tree problem
Presents a novel approach to solve an NP-complete problem that is very important from the theoretical and practical point of view, namely the capacitated minimum spanning tree (CMST) problem. This approach has the following features: (a) it is based on the simulated annealing (SA) algorithm; (b) it...
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creator | Torres-Jimenez, J. Pinto-Elias, R. Garcia-Romero, A. |
description | Presents a novel approach to solve an NP-complete problem that is very important from the theoretical and practical point of view, namely the capacitated minimum spanning tree (CMST) problem. This approach has the following features: (a) it is based on the simulated annealing (SA) algorithm; (b) it represents a tree with N edges using N-2 integers; and (c) it defines a consistent ordering between feasible and infeasible trees. Our SA implementation was tested against the most referenced algorithms for the CMST: the Essau-Williams (1966) algorithm, the Prim (1957) algorithm and the Kruskal (1993) algorithm. The results indicate that our novel approach is very promising for solving CMST problem instances, because it consistently obtains the best results (for the tested cases) but it takes more time. |
doi_str_mv | 10.1109/ICCIMA.1999.798569 |
format | Conference Proceeding |
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This approach has the following features: (a) it is based on the simulated annealing (SA) algorithm; (b) it represents a tree with N edges using N-2 integers; and (c) it defines a consistent ordering between feasible and infeasible trees. Our SA implementation was tested against the most referenced algorithms for the CMST: the Essau-Williams (1966) algorithm, the Prim (1957) algorithm and the Kruskal (1993) algorithm. The results indicate that our novel approach is very promising for solving CMST problem instances, because it consistently obtains the best results (for the tested cases) but it takes more time.</description><identifier>ISBN: 9780769503004</identifier><identifier>ISBN: 0769503004</identifier><identifier>DOI: 10.1109/ICCIMA.1999.798569</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automotive engineering ; Conducting materials ; Constraint theory ; Costs ; Heuristic algorithms ; NP-complete problem ; Read only memory ; Roads ; Simulated annealing ; Testing</subject><ispartof>Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. 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No.PR00300)</title><addtitle>ICCIMA</addtitle><description>Presents a novel approach to solve an NP-complete problem that is very important from the theoretical and practical point of view, namely the capacitated minimum spanning tree (CMST) problem. This approach has the following features: (a) it is based on the simulated annealing (SA) algorithm; (b) it represents a tree with N edges using N-2 integers; and (c) it defines a consistent ordering between feasible and infeasible trees. Our SA implementation was tested against the most referenced algorithms for the CMST: the Essau-Williams (1966) algorithm, the Prim (1957) algorithm and the Kruskal (1993) algorithm. The results indicate that our novel approach is very promising for solving CMST problem instances, because it consistently obtains the best results (for the tested cases) but it takes more time.</description><subject>Automotive engineering</subject><subject>Conducting materials</subject><subject>Constraint theory</subject><subject>Costs</subject><subject>Heuristic algorithms</subject><subject>NP-complete problem</subject><subject>Read only memory</subject><subject>Roads</subject><subject>Simulated annealing</subject><subject>Testing</subject><isbn>9780769503004</isbn><isbn>0769503004</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1999</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tOwzAURC0hJFDJD3TlH0jxje3YXkYRj0itYNF9dW3fUKMkjZKw4O8JlNnM5pyRhrEtiB2AcI9NXTeHagfOuZ1xVpfuhmXOWGFKp4UUQt2xbJ4_xRqtrVDmnr1XfE79V4cLRY7DQNil4YPjOE4XDGfeXia-nIkHHDGk5Q_r07AqPZ_HVfill4mIr4LvqH9gty12M2X_vWHH56dj_Zrv316autrnybol9-gLEzUEacn6VpUUQEkIkbwXoS2cFUVpFAYgwAhRhmitlhIohlgoITdse51NRHQap9Tj9H26vpY_WJtPbQ</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Torres-Jimenez, J.</creator><creator>Pinto-Elias, R.</creator><creator>Garcia-Romero, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1999</creationdate><title>A simulated annealing approach for the capacitated minimum spanning tree problem</title><author>Torres-Jimenez, J. ; Pinto-Elias, R. ; Garcia-Romero, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i89t-bab27d51c38e8bf46ec1431cdebb0cf29802674ac1e1ad1d3cd885331edcd2403</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Automotive engineering</topic><topic>Conducting materials</topic><topic>Constraint theory</topic><topic>Costs</topic><topic>Heuristic algorithms</topic><topic>NP-complete problem</topic><topic>Read only memory</topic><topic>Roads</topic><topic>Simulated annealing</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Torres-Jimenez, J.</creatorcontrib><creatorcontrib>Pinto-Elias, R.</creatorcontrib><creatorcontrib>Garcia-Romero, A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Torres-Jimenez, J.</au><au>Pinto-Elias, R.</au><au>Garcia-Romero, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A simulated annealing approach for the capacitated minimum spanning tree problem</atitle><btitle>Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300)</btitle><stitle>ICCIMA</stitle><date>1999</date><risdate>1999</risdate><spage>432</spage><epage>436</epage><pages>432-436</pages><isbn>9780769503004</isbn><isbn>0769503004</isbn><abstract>Presents a novel approach to solve an NP-complete problem that is very important from the theoretical and practical point of view, namely the capacitated minimum spanning tree (CMST) problem. This approach has the following features: (a) it is based on the simulated annealing (SA) algorithm; (b) it represents a tree with N edges using N-2 integers; and (c) it defines a consistent ordering between feasible and infeasible trees. Our SA implementation was tested against the most referenced algorithms for the CMST: the Essau-Williams (1966) algorithm, the Prim (1957) algorithm and the Kruskal (1993) algorithm. 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subjects | Automotive engineering Conducting materials Constraint theory Costs Heuristic algorithms NP-complete problem Read only memory Roads Simulated annealing Testing |
title | A simulated annealing approach for the capacitated minimum spanning tree problem |
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