Genetic programming approaches for minimum cost topology optimisation of optical telecommunication networks
This paper compares the relative efficiency of three approaches for the minimum-cost topology optimisation of the COST 239 European Optical Network (EON) using genetic programming. The GP was run for the central nine nodes using three approaches: relational function set, decision trees, and connecte...
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| creator | Aiyarak, P Saket, A.S Sinclair, M.C |
| description | This paper compares the relative efficiency of three approaches for the minimum-cost topology optimisation of the COST 239 European Optical Network (EON) using genetic programming. The GP was run for the central nine nodes using three approaches: relational function set, decision trees, and connected nodes. Only the best two, decision trees and connected nodes, were run for the full EON. The results are also compared with earlier genetic algorithm work on the EON. |
| doi_str_mv | 10.1049/cp:19971216 |
| format | Conference Proceeding |
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The GP was run for the central nine nodes using three approaches: relational function set, decision trees, and connected nodes. Only the best two, decision trees and connected nodes, were run for the full EON. The results are also compared with earlier genetic algorithm work on the EON.</description><identifier>ISSN: 0537-9989</identifier><identifier>ISBN: 9780852966938</identifier><identifier>ISBN: 0852966938</identifier><identifier>DOI: 10.1049/cp:19971216</identifier><identifier>CODEN: IECPB4</identifier><language>eng</language><publisher>London: IEE</publisher><subject>Algorithmics. Computability. Computer arithmetics ; Applied sciences ; Communication network design, planning and routing ; Computer science; control theory; systems ; Exact sciences and technology ; Office automation, teleprocessing ; Operational research and scientific management ; Operational research. Management science ; Optical communication ; Optimisation techniques ; Optimization. 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The GP was run for the central nine nodes using three approaches: relational function set, decision trees, and connected nodes. Only the best two, decision trees and connected nodes, were run for the full EON. The results are also compared with earlier genetic algorithm work on the EON.</description><subject>Algorithmics. Computability. Computer arithmetics</subject><subject>Applied sciences</subject><subject>Communication network design, planning and routing</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Office automation, teleprocessing</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Optical communication</subject><subject>Optimisation techniques</subject><subject>Optimization. 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Computability. Computer arithmetics</topic><topic>Applied sciences</topic><topic>Communication network design, planning and routing</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Office automation, teleprocessing</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Optical communication</topic><topic>Optimisation techniques</topic><topic>Optimization. Search problems</topic><topic>Software</topic><topic>Theoretical computing</topic><toplevel>online_resources</toplevel><creatorcontrib>Aiyarak, P</creatorcontrib><creatorcontrib>Saket, A.S</creatorcontrib><creatorcontrib>Sinclair, M.C</creatorcontrib><collection>IET Conference Publications by volume</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aiyarak, P</au><au>Saket, A.S</au><au>Sinclair, M.C</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Genetic programming approaches for minimum cost topology optimisation of optical telecommunication networks</atitle><btitle>IEE conference publication</btitle><date>1997</date><risdate>1997</risdate><spage>415</spage><epage>420</epage><pages>415-420</pages><issn>0537-9989</issn><isbn>9780852966938</isbn><isbn>0852966938</isbn><coden>IECPB4</coden><abstract>This paper compares the relative efficiency of three approaches for the minimum-cost topology optimisation of the COST 239 European Optical Network (EON) using genetic programming. The GP was run for the central nine nodes using three approaches: relational function set, decision trees, and connected nodes. Only the best two, decision trees and connected nodes, were run for the full EON. The results are also compared with earlier genetic algorithm work on the EON.</abstract><cop>London</cop><pub>IEE</pub><doi>10.1049/cp:19971216</doi><tpages>6</tpages></addata></record> |
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| identifier | ISSN: 0537-9989 |
| ispartof | IEE conference publication, 1997, p.415-420 |
| issn | 0537-9989 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_2036358 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithmics. Computability. Computer arithmetics Applied sciences Communication network design, planning and routing Computer science control theory systems Exact sciences and technology Office automation, teleprocessing Operational research and scientific management Operational research. Management science Optical communication Optimisation techniques Optimization. Search problems Software Theoretical computing |
| title | Genetic programming approaches for minimum cost topology optimisation of optical telecommunication networks |
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