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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
14 years 3 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
SAC
2010
ACM
14 years 3 months ago
Adaptive internet services through performance and availability control
Cluster-based multi-tier systems provide a means for building scalable Internet services. Building adaptive Internet services that are able to apply appropriate system sizing and ...
Jean Arnaud, Sara Bouchenak
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 9 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 2 months ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
Krister Wolff, Peter Nordin
CDC
2010
IEEE
13 years 3 months ago
Vision-based cooperative estimation via multi-agent optimization
Abstract-- In this paper, we investigate a cooperative estimation problem for visual sensor networks based on multiagent optimization techniques. A passivity-based visual motion ob...
Takeshi Hatanaka, Masayuki Fujita, Francesco Bullo