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Khornerstone

Known as: KH, Khornerstones 
In computer performance testing, Khornerstone is a multipurpose benchmark from Workstation Labs used in various periodicals such as UNIX Review. The… Expand
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Papers overview

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2016
2016
Recently, due to the huge growth of web pages, social media and modern applications, text clustering technique has emerged as a… Expand
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Highly Cited
2015
Highly Cited
2015
Abstract A novel hybrid Krill herd (KH) and quantum-behaved particle swarm optimization (QPSO), called KH–QPSO, is presented for… Expand
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Highly Cited
2014
Highly Cited
2014
Recently, Gandomi and Alavi proposed a meta-heuristic optimization algorithm, called Krill Herd (KH). This paper introduces the… Expand
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Highly Cited
2014
Highly Cited
2014
This study presents an improved krill herd (IKH) approach to solve global optimization problems. The main improvement pertains to… Expand
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Highly Cited
2012
Highly Cited
2012
Recently, Gandomi and Alavi proposed a robust meta-heuristic optimization algorithm, called Krill Herd (KH), for global… Expand
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Highly Cited
2010
Highly Cited
2010
Abstract Injector flow dynamics and primary breakup processes are known to play a pivotal role in determining combustion and… Expand
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Highly Cited
2008
Highly Cited
2008
[1] We present results from global, three-dimensional magnetohydrodynamic (MHD) simulations of the solar wind/magnetosphere… Expand
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Highly Cited
2002
Highly Cited
2002
The classical approaches in fuzzy control (Zadeh and Mamdani) deal with dense rule bases. When this is not the case, i.e. in… Expand
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Highly Cited
2000
Highly Cited
2000
The first published result in fuzzy rule interpolation was the /spl alpha/-cut based fuzzy rule interpolation, termed as KH fuzzy… Expand
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Highly Cited
1999
Highly Cited
1999
The maximum-likelihood method for inferring mo-lecular phylogeny (Felsenstein 1981) is being widelyused. The probabilistic model… Expand
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