NDLI: Kernel Method Based Human Model for Enhancing Interactive Evolutionary Optimization

Content Provider	PubMed Central
Author	Pei, Yan Zhao, Qiangfu Liu, Yong
Copyright Year	2015
Abstract	A fitness landscape presents the relationshipbetween individual and its reproductive success in evolutionarycomputation (EC). However, discrete and approximatelandscape in an original search space maynot support enough and accurate information for ECsearch, especially in interactive EC (IEC). The fitnesslandscape of human subjective evaluation in IEC is verydifficult and impossible to model, even with a hypothesisof what its definition might be. In this paper, wepropose a method to establish a human model in projectedhigh dimensional search space by kernel classificationfor enhancing IEC search. Because bivalent logicis a simplest perceptual paradigm, the human modelis established by considering this paradigm principle. In feature space, we design a linear classifier as a humanmodel to obtain user preference knowledge, whichcannot be supported linearly in original discrete searchspace. The human model is established by this methodfor predicting potential perceptual knowledge of human. With the human model, we design an evolutioncontrol method to enhance IEC search. From experimentalevaluation results with a pseudo-IEC user, our proposed model and method can enhance IEC searchsignificantly.
Related Links	http://dx.doi.org/10.1155/2015/185860
Starting Page	185860
File Format	PDF
ISSN	23566140
e-ISSN	1537744X
Journal	The Scientific World Journal
Volume Number	2015
Language	English
Publisher	Hindawi Publishing Corporation
Publisher Date	2015-01-01
Access Restriction	Open
Rights Holder	Hindawi Publishing Corporation
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Environmental Science(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Medicine Biochemistry, Genetics and Molecular Biology Environmental Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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