Reducing Population Size while Maintaining Diversity
This paper presents a technique to drastically reduce the size of a population, while still maintaining sufficient diversity for evolution. An advantage of a reduced population size is the reduced number of fitness evaluations necessary. In domains where calculation of fitness values is expensive, t...
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description | This paper presents a technique to drastically reduce the size of a population, while still maintaining sufficient diversity for evolution. An advantage of a reduced population size is the reduced number of fitness evaluations necessary. In domains where calculation of fitness values is expensive, this results in a huge speedup of the search. Additionally, in the experiments performed, smaller populations also resulted in a faster convergence speed towards an optimal solution. |
doi_str_mv | 10.1007/3-540-36599-0_13 |
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An advantage of a reduced population size is the reduced number of fitness evaluations necessary. In domains where calculation of fitness values is expensive, this results in a huge speedup of the search. Additionally, in the experiments performed, smaller populations also resulted in a faster convergence speed towards an optimal solution.</description><subject>Algorithmics. Computability. Computer arithmetics</subject><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Directed Acyclic Graph</subject><subject>Diversity Measure</subject><subject>Exact sciences and technology</subject><subject>Fitness Evaluation</subject><subject>Genetic Program</subject><subject>Sufficient Diversity</subject><subject>Theoretical computing</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540009719</isbn><isbn>354000971X</isbn><isbn>3540365990</isbn><isbn>9783540365990</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2003</creationdate><recordtype>book_chapter</recordtype><recordid>eNotkElPwzAQRs0qSumdYy8cXWyPl_iIyioVgaB3y3Hc1hCSEKeg8utx2h5GI833ZqR5CF1SMqGEqGvAghMMUmiNiaFwgM4hTbYDcogGVFKKAbg-QiOtsj4jRCuqj9GAAGFYKw6nPSe5VErBGRrF-JEgAgy40APE33yxdqFajl_rZl3aLtTV-D38-fHvKpR-_GxD1aXqidvw49sYus0FOlnYMvrRvg_R_P5uPn3Es5eHp-nNDDugosMZA8-JYIzJoiAZ1YJyBlYplmeFX4DPhZUcqMuYZEIT6ZwGTSCXVkorYIiudmcbG50tF62tXIimacOXbTeGcg2c8yxxkx0XU1QtfWvyuv6MhiZnSaMBk8SYrTXTa0wLsD_c1t9rHzvj-w3nq661pVvZpkuPGiCKCZ4Zqg0VHP4BsOptow</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Monsieurs, Patrick</creator><creator>Flerackers, Eddy</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>2003</creationdate><title>Reducing Population Size while Maintaining Diversity</title><author>Monsieurs, Patrick ; Flerackers, Eddy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c315t-823e4052226dd081951423a772b8def3eb5a6431c82625906cc93903b6a66a53</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Algorithmics. Computability. Computer arithmetics</topic><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Directed Acyclic Graph</topic><topic>Diversity Measure</topic><topic>Exact sciences and technology</topic><topic>Fitness Evaluation</topic><topic>Genetic Program</topic><topic>Sufficient Diversity</topic><topic>Theoretical computing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Monsieurs, Patrick</creatorcontrib><creatorcontrib>Flerackers, Eddy</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Monsieurs, Patrick</au><au>Flerackers, Eddy</au><au>Ryan, Conor</au><au>Tsang, Edward</au><au>Keijzer, Maarten</au><au>Soule, Terence</au><au>Costa, Ernesto</au><au>Poli, Riccardo</au><au>Costa, Ernesto</au><au>Ryan, Conor</au><au>Soule, Terence</au><au>Poli, Riccardo</au><au>Tsang, Edward</au><au>Keijzer, Maarten</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Reducing Population Size while Maintaining Diversity</atitle><btitle>Genetic Programming</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2003</date><risdate>2003</risdate><volume>2610</volume><spage>142</spage><epage>152</epage><pages>142-152</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540009719</isbn><isbn>354000971X</isbn><eisbn>3540365990</eisbn><eisbn>9783540365990</eisbn><abstract>This paper presents a technique to drastically reduce the size of a population, while still maintaining sufficient diversity for evolution. An advantage of a reduced population size is the reduced number of fitness evaluations necessary. In domains where calculation of fitness values is expensive, this results in a huge speedup of the search. Additionally, in the experiments performed, smaller populations also resulted in a faster convergence speed towards an optimal solution.</abstract><cop>Germany</cop><pub>Springer Berlin / Heidelberg</pub><doi>10.1007/3-540-36599-0_13</doi><oclcid>166467773</oclcid><tpages>11</tpages></addata></record> |
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ispartof | Genetic Programming, 2003, Vol.2610, p.142-152 |
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language | eng |
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source | Springer Books |
subjects | Algorithmics. Computability. Computer arithmetics Applied sciences Computer science control theory systems Directed Acyclic Graph Diversity Measure Exact sciences and technology Fitness Evaluation Genetic Program Sufficient Diversity Theoretical computing |
title | Reducing Population Size while Maintaining Diversity |
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