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GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 9 days ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben
ICC
2009
IEEE
159views Communications» more  ICC 2009»
14 years 3 months ago
fP2P-HN: A P2P-Based Route Optimization Solution for Mobile IP and NEMO Clients
— Wireless technologies are rapidly evolving and the users are demanding the possibility of changing its point of attachment to the Internet (i.e. default router) without breakin...
Albert Cabellos-Aparicio, Rubén Cuevas Rum&...
ISBI
2007
IEEE
14 years 3 months ago
Segmentation of Mammosphere Structures from Volumetric Data
3D cell culture assays have emerged as the basis of an improved model system for evaluating therapeutic agents, molecular probes, and exogenous stimuli. However, there is a gap in...
Ju Han, Hang Chang, Qing Yang, Mary Helen Barcello...
WSC
2007
13 years 11 months ago
Self organized UAV swarm planning optimization for search and destroy using SWARMFARE simulation
As military interest continues to grow for Unmanned Aerial Vehicle (UAV) capabilities, the Air Force is exploring UAV autonomous control, mission planning and optimization techniq...
Dustin J. Nowak, Ian C. Price, Gary B. Lamont
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 6 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone