351 search results - page 12 / 71 » Evaluation of Different Metaheuristics Solving the RND Probl... |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
EAAI
2008
13 years 7 months ago
2008
This article presents an optimization method used at the electric-motor design. The goal of the optimization was to find the geometrical parameter values that would generate the r...
GECCO
2007
Springer
2007
Springer
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
14 years 1 months ago
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
ISNN
2009
Springer
14 years 2 months ago
2009
Springer
Quantum evolutionary algorithm (QEA) is proposed on the basis of the concept and principles of quantum computing, which is a classical metaheuristic algorithm for the approximate s...