Implementation and evaluation of genetic algorithms for system partitioning

The implementation and evaluation of several algorithms to solve the partitioning problem are described. Partitioning is performed according to the main strategy of, at each step, separating the elements into two groups and seeking to minimize the connections between elements belonging to different...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of electronics 1995-03, Vol.78 (3), p.435-447
1. Verfasser: CURATELLI, F.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 447
container_issue 3
container_start_page 435
container_title International journal of electronics
container_volume 78
creator CURATELLI, F.
description The implementation and evaluation of several algorithms to solve the partitioning problem are described. Partitioning is performed according to the main strategy of, at each step, separating the elements into two groups and seeking to minimize the connections between elements belonging to different groups. Several algorithms arc considered; in particular, the main aim of this work is to evaluate algorithms and to consider the possibility of improving them by introducing steps based on the use of 'hill climbing' and simulated annealing algorithms. The numerical results of many computer simulations are presented to outline the main features of each algorithm and to give an evaluation of the most suitable way of solving the partitioning problem.
doi_str_mv 10.1080/00207219508926175
format Article
fullrecord <record><control><sourceid>pascalfrancis_infor</sourceid><recordid>TN_cdi_pascalfrancis_primary_3586158</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3586158</sourcerecordid><originalsourceid>FETCH-LOGICAL-c391t-4bfe977f6c0cebae413192c1e8baef8a474f205b4349db4832142688037f91933</originalsourceid><addsrcrecordid>eNp1kE1LxDAQhoMouK7-AG85eK1OPtok4EUWPxYXvOi5pGmyRtIPkqjsv7dL1Yt4Gl7meWaYQeicwCUBCVcAFAQlqgSpaEVEeYAWhFW0YFDBIVrs-8UEiGN0ktIbALAK6AI9rrsx2M72WWc_9Fj3LbYfOrzPcXB4a3ubvcE6bIfo82uXsBsiTruUbYdHHbPfo77fnqIjp0OyZ991iV7ubp9XD8Xm6X69utkUhimSC944q4RwlQFjG205YURRQ6ycgpOaC-4olA1nXLUNl4wSTispgQmniGJsicg818QhpWhdPUbf6birCdT7b9R_vjE5F7Mz6mR0cFH3xqdfkZWyIqWcsOsZ8_10ZKc_hxjaOutdGOKPw_7f8gWb-nI5</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Implementation and evaluation of genetic algorithms for system partitioning</title><source>Taylor &amp; Francis Journals Complete</source><creator>CURATELLI, F.</creator><creatorcontrib>CURATELLI, F.</creatorcontrib><description>The implementation and evaluation of several algorithms to solve the partitioning problem are described. Partitioning is performed according to the main strategy of, at each step, separating the elements into two groups and seeking to minimize the connections between elements belonging to different groups. Several algorithms arc considered; in particular, the main aim of this work is to evaluate algorithms and to consider the possibility of improving them by introducing steps based on the use of 'hill climbing' and simulated annealing algorithms. The numerical results of many computer simulations are presented to outline the main features of each algorithm and to give an evaluation of the most suitable way of solving the partitioning problem.</description><identifier>ISSN: 0020-7217</identifier><identifier>EISSN: 1362-3060</identifier><identifier>DOI: 10.1080/00207219508926175</identifier><language>eng</language><publisher>London: Taylor &amp; Francis Group</publisher><subject>Applied sciences ; Design. Technologies. Operation analysis. Testing ; Electronics ; Exact sciences and technology ; Integrated circuits ; Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices</subject><ispartof>International journal of electronics, 1995-03, Vol.78 (3), p.435-447</ispartof><rights>Copyright Taylor &amp; Francis Group, LLC 1995</rights><rights>1995 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c391t-4bfe977f6c0cebae413192c1e8baef8a474f205b4349db4832142688037f91933</citedby><cites>FETCH-LOGICAL-c391t-4bfe977f6c0cebae413192c1e8baef8a474f205b4349db4832142688037f91933</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/00207219508926175$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/00207219508926175$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,59645,60434</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=3586158$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>CURATELLI, F.</creatorcontrib><title>Implementation and evaluation of genetic algorithms for system partitioning</title><title>International journal of electronics</title><description>The implementation and evaluation of several algorithms to solve the partitioning problem are described. Partitioning is performed according to the main strategy of, at each step, separating the elements into two groups and seeking to minimize the connections between elements belonging to different groups. Several algorithms arc considered; in particular, the main aim of this work is to evaluate algorithms and to consider the possibility of improving them by introducing steps based on the use of 'hill climbing' and simulated annealing algorithms. The numerical results of many computer simulations are presented to outline the main features of each algorithm and to give an evaluation of the most suitable way of solving the partitioning problem.</description><subject>Applied sciences</subject><subject>Design. Technologies. Operation analysis. Testing</subject><subject>Electronics</subject><subject>Exact sciences and technology</subject><subject>Integrated circuits</subject><subject>Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices</subject><issn>0020-7217</issn><issn>1362-3060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LxDAQhoMouK7-AG85eK1OPtok4EUWPxYXvOi5pGmyRtIPkqjsv7dL1Yt4Gl7meWaYQeicwCUBCVcAFAQlqgSpaEVEeYAWhFW0YFDBIVrs-8UEiGN0ktIbALAK6AI9rrsx2M72WWc_9Fj3LbYfOrzPcXB4a3ubvcE6bIfo82uXsBsiTruUbYdHHbPfo77fnqIjp0OyZ991iV7ubp9XD8Xm6X69utkUhimSC944q4RwlQFjG205YURRQ6ycgpOaC-4olA1nXLUNl4wSTispgQmniGJsicg818QhpWhdPUbf6birCdT7b9R_vjE5F7Mz6mR0cFH3xqdfkZWyIqWcsOsZ8_10ZKc_hxjaOutdGOKPw_7f8gWb-nI5</recordid><startdate>19950301</startdate><enddate>19950301</enddate><creator>CURATELLI, F.</creator><general>Taylor &amp; Francis Group</general><general>Taylor &amp; Francis</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19950301</creationdate><title>Implementation and evaluation of genetic algorithms for system partitioning</title><author>CURATELLI, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c391t-4bfe977f6c0cebae413192c1e8baef8a474f205b4349db4832142688037f91933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>Applied sciences</topic><topic>Design. Technologies. Operation analysis. Testing</topic><topic>Electronics</topic><topic>Exact sciences and technology</topic><topic>Integrated circuits</topic><topic>Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>CURATELLI, F.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>International journal of electronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>CURATELLI, F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Implementation and evaluation of genetic algorithms for system partitioning</atitle><jtitle>International journal of electronics</jtitle><date>1995-03-01</date><risdate>1995</risdate><volume>78</volume><issue>3</issue><spage>435</spage><epage>447</epage><pages>435-447</pages><issn>0020-7217</issn><eissn>1362-3060</eissn><abstract>The implementation and evaluation of several algorithms to solve the partitioning problem are described. Partitioning is performed according to the main strategy of, at each step, separating the elements into two groups and seeking to minimize the connections between elements belonging to different groups. Several algorithms arc considered; in particular, the main aim of this work is to evaluate algorithms and to consider the possibility of improving them by introducing steps based on the use of 'hill climbing' and simulated annealing algorithms. The numerical results of many computer simulations are presented to outline the main features of each algorithm and to give an evaluation of the most suitable way of solving the partitioning problem.</abstract><cop>London</cop><pub>Taylor &amp; Francis Group</pub><doi>10.1080/00207219508926175</doi><tpages>13</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0020-7217
ispartof International journal of electronics, 1995-03, Vol.78 (3), p.435-447
issn 0020-7217
1362-3060
language eng
recordid cdi_pascalfrancis_primary_3586158
source Taylor & Francis Journals Complete
subjects Applied sciences
Design. Technologies. Operation analysis. Testing
Electronics
Exact sciences and technology
Integrated circuits
Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices
title Implementation and evaluation of genetic algorithms for system partitioning
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T19%3A00%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pascalfrancis_infor&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Implementation%20and%20evaluation%20of%20genetic%20algorithms%20for%20system%20partitioning&rft.jtitle=International%20journal%20of%20electronics&rft.au=CURATELLI,%20F.&rft.date=1995-03-01&rft.volume=78&rft.issue=3&rft.spage=435&rft.epage=447&rft.pages=435-447&rft.issn=0020-7217&rft.eissn=1362-3060&rft_id=info:doi/10.1080/00207219508926175&rft_dat=%3Cpascalfrancis_infor%3E3586158%3C/pascalfrancis_infor%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true