337 search results - page 13 / 68 » Game Theory Using Genetic Algorithms |
GECCO
2009
Springer
14 years 3 months ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Lab
Our research is motivated by a strong conviction that business processes in electronic enterprises can be designed to deliver high levels of performance through the use of mathemat...
EUROGP
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. This paper describes the first attempt to introduce evolutionarily designed players into the international Robocode league, a simulationbased game wherein robotic tanks ...
IAT
2003
IEEE
14 years 1 months ago
2003
IEEE
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...