Enhancing the speed of the Bees Algorithm using pheromone-based recruitment
The bees algorithm is an intelligent optimisation tool mimicking the food foraging behaviour of honey bees. As a powerful search algorithm suitable for both continuous function and combinatorial optimisation it has gone through several modifications since its inception in order to improve its overal...
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| creator | Packianather, M.S. Landy, M. Pham, D.T. |
| description | The bees algorithm is an intelligent optimisation tool mimicking the food foraging behaviour of honey bees. As a powerful search algorithm suitable for both continuous function and combinatorial optimisation it has gone through several modifications since its inception in order to improve its overall performance. This paper presents a new version of the bees algorithm which uses pheromone, a chemical substance secreted by bees and other insects into their environment, enabling them to communicate with other members of their own species. The new bees algorithm employs the pheromone to attract bees to explore the promising regions of the search space. Following a description of the algorithm, the paper presents the results obtained for a number of benchmark problems for functional optimization. Compared to the original bees algorithm, the new version showed an average improvement of 41% in convergence speed. |
| doi_str_mv | 10.1109/INDIN.2009.5195903 |
| format | Conference Proceeding |
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Compared to the original bees algorithm, the new version showed an average improvement of 41% in convergence speed.</description><subject>Bees Algorithm</subject><subject>Biochemistry</subject><subject>Chemicals</subject><subject>Convergence</subject><subject>Insects</subject><subject>Intelligent Optimisation</subject><subject>Iterative algorithms</subject><subject>Pheromone</subject><subject>Pulp manufacturing</subject><subject>Recruitment</subject><subject>Robustness</subject><subject>Search methods</subject><issn>1935-4576</issn><issn>2378-363X</issn><isbn>9781424437597</isbn><isbn>1424437598</isbn><isbn>1424437601</isbn><isbn>9781424437603</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkMtOwzAURM1Loi39AdjkBxKuff2Il6UtUFGVDUjsKse5boKapIrTBX_Pq6vR0RzNYhi75ZBxDvZ-tVmsNpkAsJniVlnAMzbmUkiJRgM_ZyOBJk9R48cFm1qTnzplzSUbcYsqlcroazaO8RNAKS71iL0s28q1vm53yVBREg9EZdKFP3ggislsv-v6eqia5Bh_rUNFfdd0LaWFiz9uT74_1kND7XDDroLbR5qecsLeH5dv8-d0_fq0ms_Wac2NGlLnlCpRFwa5VsQDIFoLPgThnRGlFWAkonPWg0byJiikAnyJQUtd5AIn7O5_tyai7aGvG9d_bU-n4DeuKVHr</recordid><startdate>200906</startdate><enddate>200906</enddate><creator>Packianather, M.S.</creator><creator>Landy, M.</creator><creator>Pham, D.T.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200906</creationdate><title>Enhancing the speed of the Bees Algorithm using pheromone-based recruitment</title><author>Packianather, M.S. ; Landy, M. ; Pham, D.T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-aa55d36b73165e1f033990cff2ca72d9207433aa9c063ec7f53eb0cd3f646b823</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Bees Algorithm</topic><topic>Biochemistry</topic><topic>Chemicals</topic><topic>Convergence</topic><topic>Insects</topic><topic>Intelligent Optimisation</topic><topic>Iterative algorithms</topic><topic>Pheromone</topic><topic>Pulp manufacturing</topic><topic>Recruitment</topic><topic>Robustness</topic><topic>Search methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Packianather, M.S.</creatorcontrib><creatorcontrib>Landy, M.</creatorcontrib><creatorcontrib>Pham, D.T.</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>Packianather, M.S.</au><au>Landy, M.</au><au>Pham, D.T.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Enhancing the speed of the Bees Algorithm using pheromone-based recruitment</atitle><btitle>2009 7th IEEE International Conference on Industrial Informatics</btitle><stitle>INDIN</stitle><date>2009-06</date><risdate>2009</risdate><spage>789</spage><epage>794</epage><pages>789-794</pages><issn>1935-4576</issn><eissn>2378-363X</eissn><isbn>9781424437597</isbn><isbn>1424437598</isbn><eisbn>1424437601</eisbn><eisbn>9781424437603</eisbn><abstract>The bees algorithm is an intelligent optimisation tool mimicking the food foraging behaviour of honey bees. As a powerful search algorithm suitable for both continuous function and combinatorial optimisation it has gone through several modifications since its inception in order to improve its overall performance. This paper presents a new version of the bees algorithm which uses pheromone, a chemical substance secreted by bees and other insects into their environment, enabling them to communicate with other members of their own species. The new bees algorithm employs the pheromone to attract bees to explore the promising regions of the search space. Following a description of the algorithm, the paper presents the results obtained for a number of benchmark problems for functional optimization. Compared to the original bees algorithm, the new version showed an average improvement of 41% in convergence speed.</abstract><pub>IEEE</pub><doi>10.1109/INDIN.2009.5195903</doi><tpages>6</tpages></addata></record> |
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| issn | 1935-4576 2378-363X |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Bees Algorithm Biochemistry Chemicals Convergence Insects Intelligent Optimisation Iterative algorithms Pheromone Pulp manufacturing Recruitment Robustness Search methods |
| title | Enhancing the speed of the Bees Algorithm using pheromone-based recruitment |
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