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» A Computational Journey into Nonlinearity
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GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
185
Voted
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
15 years 10 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
ACIIDS
2010
IEEE
171views Database» more  ACIIDS 2010»
15 years 9 months ago
Evolving Concurrent Petri Net Models of Epistasis
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
Michael Mayo, Lorenzo Beretta
CDC
2008
IEEE
163views Control Systems» more  CDC 2008»
15 years 8 months ago
Robust design of a spacecraft attitude tracking control system with actuator uncertainties
In this paper we apply the robust redesign for transient performance recovery of nonlinear systems with input uncertainties developed in [2] to a spacecraft attitude tracking probl...
Aranya Chakrabortty, Murat Arcak, Panagiotis Tsiot...
IPCO
2008
114views Optimization» more  IPCO 2008»
15 years 8 months ago
The Stochastic Machine Replenishment Problem
We study the stochastic machine replenishment problem, which is a canonical special case of closed multiclass queuing systems in Markov decision theory. The problem models the sche...
Kamesh Munagala, Peng Shi