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» On the Brittleness of Evolutionary Algorithms
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EVOW
2005
Springer
15 years 12 months ago
Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring
In this paper, we combine a powerful representation for graph colouring problems with different heuristic strategies for colour assignment. Our novel strategies employ heuristics ...
István Juhos, Attila Tóth, Jano I. v...
EVOW
2004
Springer
15 years 11 months ago
Using GAs to Create a Waveguide Model of the Oral Vocal Tract
A Digital Waveguide Mesh is introduced as a method for acoustic modelling. Genetic Algorithms are applied to evolve the structure of a mesh to simulate the human throat and mouth, ...
Crispin H. V. Cooper, David M. Howard, Andrew M. T...
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 11 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
GECCO
2004
Springer
15 years 11 months ago
On the Choice of the Population Size
Abstract. Evolutionary Algorithms (EAs) are population-based randomized optimizers often solving problems quite successfully. Here, the focus is on the possible effects of changin...
Tobias Storch
ICARIS
2004
Springer
15 years 11 months ago
A Fractal Immune Network
Proteins are the driving force in development (embryogenesis) and the immune system. Here we describe how a model of proteins designed for evolutionary development in computers can...
Peter J. Bentley, Jon Timmis