2008 Second Asia International Conference on Modelling &Amp; Simulation (AMS) 2008
DOI: 10.1109/ams.2008.65
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Protein Conformational Search Using Bees Algorithm

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Cited by 28 publications
(22 citation statements)
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“…Bendes and Ozkan (2008) Designing digital IIR filters Karaboga (2009) Numerical problems Qingxian and Haijun 2008 Economic load dispatch with valve-point effect Hemamalini and Simon (2008) Numerical problems Quan and Shi (2008) Multi-objective optimization of electro-chemical machining process parameters Pawar et al (2008a) Optimization process parameters of abrasive flow machining process Pawar et al (2008b) Optimization process parameters of milling process Pawar et al (2008c) Numerical problems Tsai et al (2008) Generalized assignment problem Baykasoglu et al (2007) Virtual bee algorithm (VBA) Numerical problems Yang (2005) Bees algorithm (BA) Algorithm Pham et al (2005) Numerical problems Pham et al (2006b) Optimizing neural networks for identification of wood defects Pham et al (2006e) Optimizing the weights of multi-layer perceptrons Pham et al (2006c) Training the radial basis function networks for control chart pattern recognition Pham et al (2006a) Training the learning vector quantisation networks for control chart pattern recognition Pham et al (2006d) A welded-beam structure design Pham and Ghanbarzadeh (2007) Manufacturing cell formation Pham et al (2007a) Scheduling jobs for a machine Pham et al (2007d) Tuning a fuzzy logic controller for a robot gymnast Pham et al (2007c) Data clustering Pham et al (2007f) Optimizing a support vector machine for wood defect classification Pham et al (2007e) Preliminary design Pham et al (2007b) Engineering design problems Pham et al (2007g) Protein conformational search Bahamish et al (2008) Synthesizing multiple beam antenna arrays Guney and Onay (2008) Multi-objective Environmental/Economic Dispatch Lee and Darwish (2008) Bee swarm optimization (BSO) MAX-W-SAT problem Drias et al (2005) Parallel BSO MAX-W-SAT problem Sadeg and Drias (2007) Honey bee social foraging algorithm…”
Section: Fig 1 Distribution Of Publications With Respect To Yearsmentioning
confidence: 98%
“…Bendes and Ozkan (2008) Designing digital IIR filters Karaboga (2009) Numerical problems Qingxian and Haijun 2008 Economic load dispatch with valve-point effect Hemamalini and Simon (2008) Numerical problems Quan and Shi (2008) Multi-objective optimization of electro-chemical machining process parameters Pawar et al (2008a) Optimization process parameters of abrasive flow machining process Pawar et al (2008b) Optimization process parameters of milling process Pawar et al (2008c) Numerical problems Tsai et al (2008) Generalized assignment problem Baykasoglu et al (2007) Virtual bee algorithm (VBA) Numerical problems Yang (2005) Bees algorithm (BA) Algorithm Pham et al (2005) Numerical problems Pham et al (2006b) Optimizing neural networks for identification of wood defects Pham et al (2006e) Optimizing the weights of multi-layer perceptrons Pham et al (2006c) Training the radial basis function networks for control chart pattern recognition Pham et al (2006a) Training the learning vector quantisation networks for control chart pattern recognition Pham et al (2006d) A welded-beam structure design Pham and Ghanbarzadeh (2007) Manufacturing cell formation Pham et al (2007a) Scheduling jobs for a machine Pham et al (2007d) Tuning a fuzzy logic controller for a robot gymnast Pham et al (2007c) Data clustering Pham et al (2007f) Optimizing a support vector machine for wood defect classification Pham et al (2007e) Preliminary design Pham et al (2007b) Engineering design problems Pham et al (2007g) Protein conformational search Bahamish et al (2008) Synthesizing multiple beam antenna arrays Guney and Onay (2008) Multi-objective Environmental/Economic Dispatch Lee and Darwish (2008) Bee swarm optimization (BSO) MAX-W-SAT problem Drias et al (2005) Parallel BSO MAX-W-SAT problem Sadeg and Drias (2007) Honey bee social foraging algorithm…”
Section: Fig 1 Distribution Of Publications With Respect To Yearsmentioning
confidence: 98%
“…The meta-heuristics inspired from intelligent behavior of honey bees are among the most recently introduced strategies. These methods have been applied successfully on various types of engineering applications [35][36][37]. Recently, the artificial bee colony algorithm successfully applied on RCPSP by Akbari et al [38].…”
Section: Related Workmentioning
confidence: 98%
“…In the field of biochemistry, Bahamish and his co-workers employed the Bees Algorithm for protein conformational search [58].…”
Section: Applications Of the Bees Algorithmmentioning
confidence: 99%