The Interactive Evolutionary Computation Based on the Social Distance to Extend the KeyGraph
In this study we combined the Kotler and Trias De Bes (2003) at Lateral Marketing had defined “what is the creativity” with the watt’s Social Affiliation graph to extend the KeyGraph and discovered the chance (creative probability) or decreased the length of searching path. In our model, firstly we...
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| creator | Lin, Mu-Hua Yang, Hsiao-Fang Hong, Chao-Fu |
| description | In this study we combined the Kotler and Trias De Bes (2003) at Lateral Marketing had defined “what is the creativity” with the watt’s Social Affiliation graph to extend the KeyGraph and discovered the chance (creative probability) or decreased the length of searching path. In our model, firstly we based on the KeyGraph chose the important keyterms as the selection in IEC. Secondly, the recombining mechanism as the crossover in IEC, it according to the merging probability extends the KeyGraph. And the mutation was as long distance changing mechanism in our Affiliation graph IEC (AGIEC) model. Finally we applied this model for cell phone design and from the interactive data found that the choosing and recombining mechanism as we expected the KeyGraph was based on the social distance extent to the preferable components and brought the effectively creative product. And the long distance mutating mechanism worked as lateral transmitting phenomenon and it could bring the spurring for the designer. |
| doi_str_mv | 10.1007/11552413_76 |
| format | Conference Proceeding |
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In our model, firstly we based on the KeyGraph chose the important keyterms as the selection in IEC. Secondly, the recombining mechanism as the crossover in IEC, it according to the merging probability extends the KeyGraph. And the mutation was as long distance changing mechanism in our Affiliation graph IEC (AGIEC) model. Finally we applied this model for cell phone design and from the interactive data found that the choosing and recombining mechanism as we expected the KeyGraph was based on the social distance extent to the preferable components and brought the effectively creative product. 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In our model, firstly we based on the KeyGraph chose the important keyterms as the selection in IEC. Secondly, the recombining mechanism as the crossover in IEC, it according to the merging probability extends the KeyGraph. And the mutation was as long distance changing mechanism in our Affiliation graph IEC (AGIEC) model. Finally we applied this model for cell phone design and from the interactive data found that the choosing and recombining mechanism as we expected the KeyGraph was based on the social distance extent to the preferable components and brought the effectively creative product. And the long distance mutating mechanism worked as lateral transmitting phenomenon and it could bring the spurring for the designer.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>chance discovery</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>interactive evolutionary computation (IEC)</subject><subject>KeyGraph</subject><subject>small world</subject><subject>social affiliation network</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>3540288945</isbn><isbn>9783540288947</isbn><isbn>9783540319832</isbn><isbn>3540319832</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNUD1PwzAQNV8SpXTiD3hhYAj4fHFsj1BKQVRioGxIkeM4NNAmUexW9N_jUgZueXd67073HiEXwK6BMXkDIARPAXOZHZCRlgpFyhC0Qn5IBpABJIipPiJnO4IrpVNxTAYMGU-0TPGUjLz_ZLEQlNBiQN7nC0efmuB6Y0O9cXSyaZfrULeN6bd03K66dTC7kd4Z70oamxA3XltbmyW9r30wjXU0tHTyHVxT_rLPbjvtTbc4JyeVWXo3-sMheXuYzMePyexl-jS-nSUdBx0SyKyDokxZwXVpC1vaCkGkBq0SmZSVqDRwiGhYBQ4rLFA5hTrl1hRKChySy_3dznhrllUff6p93vX1KrrIITqXSvGou9rrfKSaD9fnRdt--RxYvos3_xcv_gAnqGec</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Lin, Mu-Hua</creator><creator>Yang, Hsiao-Fang</creator><creator>Hong, Chao-Fu</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2005</creationdate><title>The Interactive Evolutionary Computation Based on the Social Distance to Extend the KeyGraph</title><author>Lin, Mu-Hua ; Yang, Hsiao-Fang ; Hong, Chao-Fu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-16ce1bd40b29dcbcdcf3154a3c85677f5f91217f5a0f1e3f3b38e83942cab8753</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>chance discovery</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>interactive evolutionary computation (IEC)</topic><topic>KeyGraph</topic><topic>small world</topic><topic>social affiliation network</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Mu-Hua</creatorcontrib><creatorcontrib>Yang, Hsiao-Fang</creatorcontrib><creatorcontrib>Hong, Chao-Fu</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Mu-Hua</au><au>Yang, Hsiao-Fang</au><au>Hong, Chao-Fu</au><au>Howlett, Robert J.</au><au>Jain, Lakhmi C.</au><au>Khosla, Rajiv</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The Interactive Evolutionary Computation Based on the Social Distance to Extend the KeyGraph</atitle><btitle>Knowledge-Based Intelligent Information and Engineering Systems</btitle><date>2005</date><risdate>2005</risdate><spage>526</spage><epage>532</epage><pages>526-532</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540288945</isbn><isbn>9783540288947</isbn><eisbn>9783540319832</eisbn><eisbn>3540319832</eisbn><abstract>In this study we combined the Kotler and Trias De Bes (2003) at Lateral Marketing had defined “what is the creativity” with the watt’s Social Affiliation graph to extend the KeyGraph and discovered the chance (creative probability) or decreased the length of searching path. In our model, firstly we based on the KeyGraph chose the important keyterms as the selection in IEC. Secondly, the recombining mechanism as the crossover in IEC, it according to the merging probability extends the KeyGraph. And the mutation was as long distance changing mechanism in our Affiliation graph IEC (AGIEC) model. Finally we applied this model for cell phone design and from the interactive data found that the choosing and recombining mechanism as we expected the KeyGraph was based on the social distance extent to the preferable components and brought the effectively creative product. And the long distance mutating mechanism worked as lateral transmitting phenomenon and it could bring the spurring for the designer.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11552413_76</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Knowledge-Based Intelligent Information and Engineering Systems, 2005, p.526-532 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_17437882 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence chance discovery Computer science control theory systems Exact sciences and technology interactive evolutionary computation (IEC) KeyGraph small world social affiliation network |
| title | The Interactive Evolutionary Computation Based on the Social Distance to Extend the KeyGraph |
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