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CSDA
2010
122views more  CSDA 2010»
14 years 11 months ago
A comparison of design and model selection methods for supersaturated experiments
Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluati...
Christopher J. Marley, David C. Woods
ICRA
2007
IEEE
121views Robotics» more  ICRA 2007»
15 years 5 months ago
Models for the Design of a Tendon Driven Robot Eye
Eye motion strategies in animals and humans have v e2 h2 the goal of optimizing visual perception, therefore, the study of eye motions plays an important role in the design of huma...
Giorgio Cannata, Marco Maggiali
EENERGY
2010
15 years 3 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 16 days ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
15 years 5 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das