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GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
14 years 1 months ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 1 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
DSD
2003
IEEE
100views Hardware» more  DSD 2003»
14 years 1 months ago
Fast Heuristics for the Edge Coloring of Large Graphs
Heuristic algorithms for coloring the edges of large undirected single-edge graphs with (or very close to) the minimal number of colors are presented. Compared to simulated anneal...
Mario Hilgemeier, Nicole Drechsler, Rolf Drechsler
GECCO
2003
Springer
14 years 1 months ago
Co-evolving Task-Dependent Visual Morphologies in Predator-Prey Experiments
Abstract. This article presents experiments that integrate competitive coevolution of neural robot controllers with ‘co-evolution’ of robot morphologies and control systems. Mo...
Gunnar Búason, Tom Ziemke
GECCO
2003
Springer
14 years 1 months ago
Understanding EA Dynamics via Population Fitness Distributions
It is clear from the study of complex non-linear systems in general, and evolutionary algorithms (EAs) in particular, that there is no single analysis tool or technique capable of ...
Elena Popovici, Kenneth A. De Jong