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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 6 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
ECCV
2006
Springer
14 years 11 months ago
Comparison of Energy Minimization Algorithms for Highly Connected Graphs
Algorithms for discrete energy minimization play a fundamental role for low-level vision. Known techniques include graph cuts, belief propagation (BP) and recently introduced tree-...
Vladimir Kolmogorov, Carsten Rother
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 3 months ago
GAMA (genetic algorithm driven multi-agents)for e-commerce integrative negotiation
Software agents help automate a variety of tasks including those involved in buying and selling products over the internet. The need for handling complex highly configurable produ...
Magda Bahaa Eldin Fayek, Ihab A. Talkhan, Khalil S...
ICMCS
2005
IEEE
92views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Striping Delay-Sensitive Packets Over Multiple Bursty Wireless Channels
Multi-homed mobile devices have multiple wireless communication interfaces, each connecting to the Internet via a low speed and bursty WAN link such as a cellular link. We propose...
Gene Cheung, Puneet Sharma, Sung-Ju Lee
GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
14 years 2 months ago
Pricing the 'free lunch' of meta-evolution
A number of recent studies introduced meta-evolutionary strategies and successfully used them for solving problems in genetic programming. While individual results indicate possib...
Alexei V. Samsonovich, Kenneth A. De Jong