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EMO
2009
Springer
174views Optimization» more  EMO 2009»
16 years 1 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
EMO
2009
Springer
155views Optimization» more  EMO 2009»
16 years 1 months ago
An Improved Version of Volume Dominance for Multi-Objective Optimisation
Abstract. This paper proposes an improved version of volume dominance to assign fitness to solutions in Pareto-based multi-objective optimisation. The impact of this revised volum...
Khoi Le, Dario Landa Silva, Hui Li
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
16 years 1 months ago
Evolutionary algorithms and dynamic programming
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
Benjamin Doerr, Anton Eremeev, Christian Horoba, F...
ICCBR
2009
Springer
16 years 1 months ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer
ICCBR
2009
Springer
16 years 1 months ago
Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning
This paper presents a new approach for spatial event prediction that combines a value function approximation algorithm and case-based reasoning predictors. Each of these predictors...
Hua Li, Héctor Muñoz-Avila, Diane Br...
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