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» Input Modeling Tools for Complex Problems
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AIR
1998
103views more  AIR 1998»
15 years 4 days ago
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...
Francisco Herrera, Manuel Lozano, José L. V...
93
Voted
EWC
2007
60views more  EWC 2007»
15 years 12 days ago
A simulation-based design paradigm for complex cast components
This paper describes and exercises a new design paradigm for cast components. The methodology integrates foundry process simulation, non-destructive evaluation (nde), stress analys...
Stéphane P. A. Bordas, James G. Conley, Bri...
105
Voted
CORR
2008
Springer
80views Education» more  CORR 2008»
15 years 16 days ago
Multi-Layer Perceptrons and Symbolic Data
In some real world situations, linear models are not sufficient to represent accurately complex relations between input variables and output variables of a studied system. Multila...
Fabrice Rossi, Brieuc Conan-Guez
BIRTHDAY
2010
Springer
15 years 1 months ago
Halting and Equivalence of Program Schemes in Models of Arbitrary Theories
In this note we consider the following decision problems. Let be a fixed first-order signature. (i) Given a first-order theory or ground theory T over of Turing degree , a program...
Dexter Kozen
95
Voted
ICSE
2008
IEEE-ACM
16 years 16 days ago
FeatureMapper: mapping features to models
Variability modelling with feature models is one key technique for specifying the problem space of Software Product Lines (SPLs). To allow for the automatic derivation of a concre...
Florian Heidenreich, Jan Kopcsek, Christian Wende