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BMCBI
2004
133views more  BMCBI 2004»
15 years 4 months ago
Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Robin D. Dowell, Sean R. Eddy
143
Voted
EVOW
2004
Springer
15 years 10 months ago
Binary Merge Model Representation of the Graph Colouring Problem
This paper describes a novel representation and ordering model that, aided by an evolutionary algorithm, is used in solving the graph k-colouring problem. Its strength lies in redu...
István Juhos, Attila Tóth, Jano I. v...
136
Voted
ICPP
2008
IEEE
15 years 11 months ago
TPTS: A Novel Framework for Very Fast Manycore Processor Architecture Simulation
The slow speed of conventional execution-driven architecture simulators is a serious impediment to obtaining desirable research productivity. This paper proposes and evaluates a f...
Sangyeun Cho, Socrates Demetriades, Shayne Evans, ...
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 11 months ago
A novel ab-initio genetic-based approach for protein folding prediction
In this paper, a model based on genetic algorithms for protein folding prediction is proposed. The most important features of the proposed approach are: i) Heuristic secondary str...
Sergio Raul Duarte Torres, David Camilo Becerra Ro...
TSE
2010
197views more  TSE 2010»
14 years 11 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