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GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
16 years 14 hour ago
Robotic Control Using Hierarchical Genetic Programming
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Marcin L. Pilat, Franz Oppacher
ORL
2008
72views more  ORL 2008»
15 years 6 months ago
Stochastic 0-1 linear programming under limited distributional information
We consider the problem minX{0,1}n {c x : aj x bj , j = 1, . . . , m}, where the aj are random vectors with unknown distributions. The only information we are given regarding the ...
Michael R. Wagner
LOPSTR
2007
Springer
16 years 23 days ago
Denotation by Transformation
Abstract. It has often been observed that a point-free style of programvides a more abstract view on programs. We aim to use the gain in abstraction to obtain a denotational semant...
Bernd Braßel, Jan Christiansen
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 10 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
WCE
2007
15 years 7 months ago
Modeling and Analysis of an Elastic Compound Strut in Axial Compression
— This paper presents an analytical model for calculating the deformation behavior of an elastic, composite strut comprising any number of materials, which are represented by an ...
Joshua R. Omer