A self-adaptive global best harmony search algorithm for continuous optimization problems

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Date
2010
Author
Pan, Q.K.
Suganthan, P.N.
Tasgetiren, M.F.
Liang, J.J.
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Abstract
This paper presents a self-adaptive global best harmony search (SGHS) algorithm for solving continuous optimization problems. In the proposed SGHS algorithm, a new improvisation scheme is developed so that the good information captured in the current glob
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-77949490771&doi=10.1016%2fj.amc.2010.01.088&partnerID=40&md5=b934b6c6a57f8f627acd56595b7e66b6
https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10680
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