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IS
2010
8 years 10 months ago
Multicriteria reinforcement learning based on a Russian doll method for network routing
The routing in communication networks is typically a multicriteria decision making (MCDM) problem. However, setting the parameters of most used MCDM methods to fit the preferences ...
Alain Pétrowski, Farouk Aissanou, Ilham Ben...
GECCO
2004
Springer
121views Optimization» more  GECCO 2004»
9 years 6 months ago
Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using Evolutionary Hackers
Artificial Immune Systems (AISs) are biologically inspired problem solvers that have been used successfully as intrusion detection systems (IDSs). This paper describes how the des...
Gerry V. Dozier, Douglas Brown, John Hurley, Kryst...
GECCO
2003
Springer
165views Optimization» more  GECCO 2003»
9 years 6 months ago
An Evolutionary Approach for Molecular Docking
We have developed an evolutionary approach for the flexible docking that is now an important component of a rational drug design. This automatic docking tool, referred to as the G...
Jinn-Moon Yang
BMCBI
2008
174views more  BMCBI 2008»
9 years 1 months ago
Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
Cédric Auliac, Vincent Frouin, Xavier Gidro...
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
9 years 7 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
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