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» ITS Domain Modelling with Ontology
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CP
2004
Springer
15 years 12 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
CORR
2008
Springer
190views Education» more  CORR 2008»
15 years 5 months ago
Chain-Based Representations for Solid and Physical Modeling
In this paper we show that the (co)chain complex associated with a decomposition of the computational domain, commonly called a mesh in computational science and engineering, can b...
Antonio DiCarlo, Franco Milicchio, Alberto Paoluzz...
BMCBI
2007
153views more  BMCBI 2007»
15 years 6 months ago
MPHASYS: a mouse phenotype analysis system
Background: Systematic, high-throughput studies of mouse phenotypes have been hampered by the inability to analyze individual animal data from a multitude of sources in an integra...
R. Brent Calder, Rudolf B. Beems, Harry van Steeg,...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
16 years 20 days ago
Nonlinear dynamics modelling for controller evolution
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...
Julian Togelius, Renzo De Nardi, Hugo Gravato Marq...
ICCBR
2005
Springer
16 years 17 hour ago
CBR for Modeling Complex Systems
This paper describes how CBR can be used to compare, reuse, and adapt inductive models that represent complex systems. Complex systems are not well understood and therefore require...
Rosina Weber, Jason M. Proctor, Ilya Waldstein, An...