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PPSN
1994
Springer
15 years 10 months ago
Convergence Models of Genetic Algorithm Selection Schemes
We discuss the use of normal distribution theory as a tool to model the convergence characteristics of di erent GA selection schemes. The models predict the proportion of optimal a...
Dirk Thierens, David E. Goldberg
CEC
2009
IEEE
15 years 10 months ago
A dynamic artificial immune algorithm applied to challenging benchmarking problems
Abstract-- In many real-world scenarios, in contrast to standard benchmark optimization problems, we may face some uncertainties regarding the objective function. One source of the...
Fabrício Olivetti de França, Fernand...
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolving kernels for support vector machine classification
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Keith Sullivan, Sean Luke
ECML
2006
Springer
15 years 10 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Scott Proper, Prasad Tadepalli
ECOWS
2006
Springer
15 years 10 months ago
Verifying Correctness of Web Services Choreography
This paper is about Web services used in distributed, inter-organizational business cooperation (choreography). In this application scenario, we have a multipart functional conven...
Tarek Melliti, Céline Boutrous-Saab, Sylvai...