Loading…
Improving ant systems using a local updating rule
An algorithm based on ant colony system for solving traveling salesman problem is proposed. The new algorithm, introduces in ant colony system an inner loop aiming to update the pheromone trails. The update increases the pheromone in the trail followed by the ants and therefore generates improved to...
Saved in:
Main Authors: | , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | |
container_issue | |
container_start_page | 4 pp. |
container_title | |
container_volume | |
creator | Pintea, C.-M. Dumitrescu, D. |
description | An algorithm based on ant colony system for solving traveling salesman problem is proposed. The new algorithm, introduces in ant colony system an inner loop aiming to update the pheromone trails. The update increases the pheromone in the trail followed by the ants and therefore generates improved tours. |
doi_str_mv | 10.1109/SYNASC.2005.38 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1595863</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1595863</ieee_id><sourcerecordid>1595863</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-270f546823df6115109ac7de5f24aa8eaa1459a31cf65872dc76daaa55b2db773</originalsourceid><addsrcrecordid>eNotjjtrwzAURgWlkDbJmiWL_oBdXclXjzGYPgKhHZIOncKNJQUXOzGWXci_b_o4ywdn-DiMLUDkAMI9bD9eV9syl0JgruwNuxdGO5QFKjlh85Q-xRXltDL6jsG67frzV306cjoNPF3SENrEx_RreHOuqOFj52n4Ef3YhBm7jdSkMP_fKXt_etyVL9nm7XldrjZZDQaHTBoRsdBWKh81AF7LqDI-YJQFkQ1EUKAjBVXUaI30ldGeiBAP0h-MUVO2_PutQwj7rq9b6i97QIdWK_UNvalB8Q</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Improving ant systems using a local updating rule</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Pintea, C.-M. ; Dumitrescu, D.</creator><creatorcontrib>Pintea, C.-M. ; Dumitrescu, D.</creatorcontrib><description>An algorithm based on ant colony system for solving traveling salesman problem is proposed. The new algorithm, introduces in ant colony system an inner loop aiming to update the pheromone trails. The update increases the pheromone in the trail followed by the ants and therefore generates improved tours.</description><identifier>ISBN: 0769524532</identifier><identifier>ISBN: 9780769524535</identifier><identifier>DOI: 10.1109/SYNASC.2005.38</identifier><language>eng</language><publisher>IEEE</publisher><subject>Ant colony optimization ; Chemicals ; Educational institutions ; Feedback ; NP-hard problem ; Partitioning algorithms ; Routing ; Scheduling algorithm ; Traveling salesman problems ; Vehicles</subject><ispartof>Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005, p.4 pp.</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1595863$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1595863$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Pintea, C.-M.</creatorcontrib><creatorcontrib>Dumitrescu, D.</creatorcontrib><title>Improving ant systems using a local updating rule</title><title>Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05)</title><addtitle>SYNASC</addtitle><description>An algorithm based on ant colony system for solving traveling salesman problem is proposed. The new algorithm, introduces in ant colony system an inner loop aiming to update the pheromone trails. The update increases the pheromone in the trail followed by the ants and therefore generates improved tours.</description><subject>Ant colony optimization</subject><subject>Chemicals</subject><subject>Educational institutions</subject><subject>Feedback</subject><subject>NP-hard problem</subject><subject>Partitioning algorithms</subject><subject>Routing</subject><subject>Scheduling algorithm</subject><subject>Traveling salesman problems</subject><subject>Vehicles</subject><isbn>0769524532</isbn><isbn>9780769524535</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjjtrwzAURgWlkDbJmiWL_oBdXclXjzGYPgKhHZIOncKNJQUXOzGWXci_b_o4ywdn-DiMLUDkAMI9bD9eV9syl0JgruwNuxdGO5QFKjlh85Q-xRXltDL6jsG67frzV306cjoNPF3SENrEx_RreHOuqOFj52n4Ef3YhBm7jdSkMP_fKXt_etyVL9nm7XldrjZZDQaHTBoRsdBWKh81AF7LqDI-YJQFkQ1EUKAjBVXUaI30ldGeiBAP0h-MUVO2_PutQwj7rq9b6i97QIdWK_UNvalB8Q</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Pintea, C.-M.</creator><creator>Dumitrescu, D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>Improving ant systems using a local updating rule</title><author>Pintea, C.-M. ; Dumitrescu, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-270f546823df6115109ac7de5f24aa8eaa1459a31cf65872dc76daaa55b2db773</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Ant colony optimization</topic><topic>Chemicals</topic><topic>Educational institutions</topic><topic>Feedback</topic><topic>NP-hard problem</topic><topic>Partitioning algorithms</topic><topic>Routing</topic><topic>Scheduling algorithm</topic><topic>Traveling salesman problems</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Pintea, C.-M.</creatorcontrib><creatorcontrib>Dumitrescu, D.</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/IET 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>Pintea, C.-M.</au><au>Dumitrescu, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Improving ant systems using a local updating rule</atitle><btitle>Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05)</btitle><stitle>SYNASC</stitle><date>2005</date><risdate>2005</risdate><spage>4 pp.</spage><pages>4 pp.-</pages><isbn>0769524532</isbn><isbn>9780769524535</isbn><abstract>An algorithm based on ant colony system for solving traveling salesman problem is proposed. The new algorithm, introduces in ant colony system an inner loop aiming to update the pheromone trails. The update increases the pheromone in the trail followed by the ants and therefore generates improved tours.</abstract><pub>IEEE</pub><doi>10.1109/SYNASC.2005.38</doi></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISBN: 0769524532 |
ispartof | Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005, p.4 pp. |
issn | |
language | eng |
recordid | cdi_ieee_primary_1595863 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Ant colony optimization Chemicals Educational institutions Feedback NP-hard problem Partitioning algorithms Routing Scheduling algorithm Traveling salesman problems Vehicles |
title | Improving ant systems using a local updating rule |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T18%3A04%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Improving%20ant%20systems%20using%20a%20local%20updating%20rule&rft.btitle=Seventh%20International%20Symposium%20on%20Symbolic%20and%20Numeric%20Algorithms%20for%20Scientific%20Computing%20(SYNASC'05)&rft.au=Pintea,%20C.-M.&rft.date=2005&rft.spage=4%20pp.&rft.pages=4%20pp.-&rft.isbn=0769524532&rft.isbn_list=9780769524535&rft_id=info:doi/10.1109/SYNASC.2005.38&rft_dat=%3Cieee_6IE%3E1595863%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-270f546823df6115109ac7de5f24aa8eaa1459a31cf65872dc76daaa55b2db773%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1595863&rfr_iscdi=true |