Abstract
As it is not trivial to cope with the fast growing number of papers published in the field of medicine and biology, intelligent search strategies are needed to be able to access the required information as fast and accurately as possible. In [5] we have proposed a method for keyword clustering as a first step towards an intelligent search strategy in biomedical information retrieval. In this paper we focus on the analysis of the internal dynamics of the evolutionary algorithms applied here using solution encoding specific population diversity analysis, which is also defined in this paper. The population diversity results obtained using evolution strategies, genetic algorithms, genetic algorithms with offspring selection and also a multi-objective approach, the NSGA-II, are discussed here. We see that the diversity of the populations is preserved over the generations, decreasing towards the end of the runs, which indicates a good performance of the selection process.
Original language | English |
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Title of host publication | Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers |
Pages | 408-415 |
Number of pages | 8 |
Edition | PART 1 |
DOIs | |
Publication status | Published - 2012 |
Event | 13th International Conference on Computer Aided Systems Theory, Eurocast 2011 - Las Palmas de Gran Canaria, Spain Duration: 6 Feb 2011 → 11 Feb 2011 http://www.iuctc.ulpgc.es/spain/eurocast2011/ |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Number | PART 1 |
Volume | 6927 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 13th International Conference on Computer Aided Systems Theory, Eurocast 2011 |
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Country/Territory | Spain |
City | Las Palmas de Gran Canaria |
Period | 06.02.2011 → 11.02.2011 |
Internet address |