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GECCO
2011
Springer
14 years 1 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
COR
2008
14 years 9 months ago
2008
Over the past few years, several local search algorithms have been proposed for various problems related to multicast routing in the off-line mode. We describe a population-based ...
CEC
2007
IEEE
2007
IEEE
Mining association rules from databases with continuous attributes using genetic network programming
15 years 1 months ago
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
GECCO
2010
Springer
15 years 1 months ago
2010
Springer
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...