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» An Introduction to Evolutionary Programming
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EUROGP
2007
Springer
143views Optimization» more  EUROGP 2007»
15 years 3 months ago
Confidence Intervals for Computational Effort Comparisons
Abstract. When researchers make alterations to the genetic programming algorithm they almost invariably wish to measure the change in performance of the evolutionary system. No one...
Matthew Walker, Howard Edwards, Chris H. Messom
AGI
2008
15 years 1 months ago
Anticipative coordinated cognitive processes for interactivist and Piagetian theories
Abstract. This paper presents a model of intelligence based on principles introduced by Piaget and the interactivist framework. It focuses on embodiment and sensory-motor aspects o...
Jean-Charles Quinton, Jean-Christophe Buisson, Fil...
NIPS
1993
15 years 1 months ago
Structural and Behavioral Evolution of Recurrent Networks
This paper introduces GNARL, an evolutionary program which induces recurrent neural networks that are structurally unconstrained. In contrast to constructive and destructive algor...
Gregory M. Saunders, Peter J. Angeline, Jordan B. ...
PLDI
2004
ACM
15 years 5 months ago
Fast searches for effective optimization phase sequences
It has long been known that a fixed ordering of optimization phases will not produce the best code for every application. One approach for addressing this phase ordering problem ...
Prasad Kulkarni, Stephen Hines, Jason Hiser, David...
BMCBI
2010
185views more  BMCBI 2010»
14 years 12 months ago
ABCtoolbox: a versatile toolkit for approximate Bayesian computations
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
Daniel Wegmann, Christoph Leuenberger, Samuel Neue...