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» Solving Hierarchical Optimization Problems Using MOEAs
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GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 4 months ago
On evolving buffer overflow attacks using genetic programming
In this work, we employed genetic programming to evolve a "white hat" attacker; that is to say, we evolve variants of an attack with the objective of providing better de...
Hilmi Günes Kayacik, Malcolm I. Heywood, A. N...
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 4 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
93
Voted
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
15 years 1 months ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross
AAAI
1994
15 years 2 months ago
Improving Learning Performance Through Rational Resource Allocation
This article shows how rational analysis can be used to minimize learning cost for a general class of statistical learning problems. We discuss the factors that influence learning...
Jonathan Gratch, Steve A. Chien, Gerald DeJong
99
Voted
CCGRID
2009
IEEE
15 years 7 months ago
Resource Allocation Using Virtual Clusters
— We propose a novel approach for sharing cluster resources among competing jobs. The key advantage of our approach over current solutions is that it increases cluster utilizatio...
Mark Stillwell, David Schanzenbach, Fréd&ea...