NDLI: An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference

Content Provider	IEEE Xplore Digital Library
Author	Mendoza, M.R. Werhli, A.V. Bazzan, A.L.C.
Copyright Year	2012
Abstract	This paper introduces a new mutation operator for networks inference based on the epsilon-greedy strategy. Given some prior knowledge, either provided by a third party method or collected from literature, our approach performs mutations by randomly exploring the search space with epsilon-frequency and by exploiting the available prior knowledge in the remaining cases. The algorithm starts with a highly exploitative profile and gradually decreases the probability of employing prior knowledge in the mutation operator, thus reaching a trade-off between exploration and exploitation. Tests performed have shown that the proposed approach has great potential when compared to the traditional genetic algorithm: it not only outperforms the latter in terms of results accuracy, but also accelerates its convergence and allows user to control the evolvability speed by adjusting the rate with which the probability of using prior knowledge is decreased.
Starting Page	67
Ending Page	72
File Size	284015
Page Count	6
File Format	PDF
ISBN	9781467326414
ISSN	15224899
DOI	10.1109/SBRN.2012.40
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-20
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Boolean functions Space exploration Convergence Accuracy Mutual information Knowledge engineering Networks Inference Genetic Algorithm Mutation Epsilon-Greedy Prior Knowledge Mutual Information
Content Type	Text
Resource Type	Article

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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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