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» Towards Automatic Model Generation by Optimization
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 1 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
IJCV
2000
164views more  IJCV 2000»
14 years 9 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
DATE
2003
IEEE
108views Hardware» more  DATE 2003»
15 years 2 months ago
Generalized Posynomial Performance Modeling
This paper presents a new method to automatically generate posynomial symbolic expressions for the performance characteristics of analog integrated circuits. The coefficient set ...
Tom Eeckelaert, Walter Daems, Georges G. E. Gielen...
GMP
2006
IEEE
114views Solid Modeling» more  GMP 2006»
15 years 3 months ago
A Step Towards Automated Design of Side Actions in Injection Molding of Complex Parts
Side actions contribute to mold cost by resulting in an additional manufacturing and assembly cost as well as by increasing the molding cycle time. Therefore, generating shapes of ...
Ashis Gopal Banerjee, Satyandra K. Gupta
GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
15 years 3 months ago
Search-based mutation testing for Simulink models
The efficient and effective generation of test-data from high-level models is of crucial importance in advanced modern software engineering. Empirical studies have shown that muta...
Yuan Zhan, John A. Clark