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GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 10 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
157
Voted
VEE
2005
ACM
167views Virtualization» more  VEE 2005»
15 years 12 months ago
An execution layer for aspect-oriented programming languages
Language mechanisms deserve language implementation effort. While this maxim has led to sophisticated support for language features specific to object-oriented, functional and lo...
Michael Haupt, Mira Mezini, Christoph Bockisch, To...
FLOPS
2006
Springer
15 years 10 months ago
iData for the World Wide Web - Programming Interconnected Web Forms
Abstract. In this paper we present the iData Toolkit. It allows programmers to create interactive, dynamic web applications with state on evel of abstraction. The key element of th...
Rinus Plasmeijer, Peter Achten
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
15 years 7 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
157
Voted
MP
2006
87views more  MP 2006»
15 years 6 months ago
Convexity and decomposition of mean-risk stochastic programs
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...
Shabbir Ahmed