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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 2 months ago
Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
Matthew R. Glickman, Katia P. Sycara
ECAL
1999
Springer
15 years 2 months ago
A Generic Neutral Model for Quantitative Comparison of Genotypic Evolutionary Activity
We use a new general-purpose model of neutral evolution of genotypes to make quantitative comparisons of diversity and adaptive evolutionary activity as a function of mutation rate...
Andreas Rechtsteiner, Mark A. Bedau
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 3 months ago
Morphing methods in evolutionary design optimization
Design optimization is a well established application field of evolutionary computation. However, standard recombination operators acting on the genotypic representation of the d...
Michael Nashvili, Markus Olhofer, Bernhard Sendhof...
IJCNN
2000
IEEE
15 years 2 months ago
Evolving Neural Network Structures Using Axonal Growth Mechanisms
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
Peter Eggenberger
IADIS
2004
14 years 11 months ago
Software for self-government
Government bureaucracies are both extremely complex and long-lived, constantly evolving to reflect and influence their ever changing cultural and physical environments. Software s...
Thomas B. Senior, Brian Warboys