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» Combining mutation operators in evolutionary programming
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BMCBI
2008
111views more  BMCBI 2008»
15 years 1 months ago
GENOMEPOP: A program to simulate genomes in populations
Background: There are several situations in population biology research where simulating DNA sequences is useful. Simulation of biological populations under different evolutionary...
Antonio Carvajal-Rodríguez
ATAL
2009
Springer
15 years 8 months ago
Combining fault injection and model checking to verify fault tolerance in multi-agent systems
The ability to guarantee that a system will continue to operate correctly under degraded conditions is key to the success of adopting multi-agent systems (MAS) as a paradigm for d...
Jonathan Ezekiel, Alessio Lomuscio
ICDAR
2009
IEEE
14 years 11 months ago
Learning Bayesian Networks by Evolution for Classifier Combination
Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduc...
Claudio De Stefano, Francesco Fontanella, Alessand...
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 5 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
EVOW
2007
Springer
15 years 5 months ago
An Evolutionary Approach to Computer-Aided Orchestration
In this paper we introduce an hybrid evolutionary algorithm for computer-aided orchestration. Our current approach to orchestration consists in replicating a target sound with a se...
Grégoire Carpentier, Damien Tardieu, G&eacu...