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» Data Mining for Genetics: A Genetic Algorithm Approach
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145
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BMCBI
2010
151views more  BMCBI 2010»
15 years 3 months ago
Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
141
Voted
GECCO
2003
Springer
15 years 9 months ago
A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
We present a Kernighan-Lin style local improvement heuristic for genetic algorithms. We analyze the run-time cost of the heuristic. We demonstrate through experiments that the heur...
William A. Greene
117
Voted
TPDS
2008
117views more  TPDS 2008»
15 years 3 months ago
Energy-Efficient Thermal-Aware Task Scheduling for Homogeneous High-Performance Computing Data Centers: A Cyber-Physical Approac
High Performance Computing data centers have been rapidly growing, both in number and size. Thermal management of data centers can address dominant problems associated with cooling...
Qinghui Tang, Sandeep K. S. Gupta, Georgios Varsam...
162
Voted
TSE
2010
197views more  TSE 2010»
14 years 10 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi
139
Voted
APBC
2004
123views Bioinformatics» more  APBC 2004»
15 years 5 months ago
Empirical Knowledge and Genetic Algorithms for Selection of Amide I Frequencies in Protein Secondary Structure Prediction
Here we investigate an extension of a previously suggested "automatic amide I frequency selection procedure" where we introduce an additional criterion utilizing empiric...
Joachim A. Hering, Peter R. Innocent, Parvez I. Ha...