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» Comparative analysis of genetic algorithm implementations
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CEC
2008
IEEE
13 years 11 months ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...
BMCBI
2005
112views more  BMCBI 2005»
13 years 4 months ago
Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
Background: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on ...
Rainer Breitling, Patrick Armengaud, Anna Amtmann
AIR
1998
103views more  AIR 1998»
13 years 4 months ago
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...
Francisco Herrera, Manuel Lozano, José L. V...
CEC
2009
IEEE
13 years 9 months ago
A parallel genetic algorithm for protein folding prediction using the 3D-HP Side Chain model
— This work presents a methodology for the application of a parallel genetic algorithm (PGA) to the problem of protein folding prediction, using the 3DHP-Side Chain model. This m...
César Manuel Vargas Benítez, Heitor ...
IPM
1998
111views more  IPM 1998»
13 years 4 months ago
Crossover Improvement for the Genetic Algorithm in Information Retrieval
- Genetic algorithms (GAs) search for good solutions to a problem by operations inspired from the natural selection of living beings. Among their many uses, we can count informatio...
Dana Vrajitoru