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PPSN
2004
Springer
15 years 9 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 8 months ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
IBERAMIA
1998
Springer
15 years 8 months ago
The "Semantics" of Evolution: Trajectories and Trade-offs in Design Space and Niche Space
This paper 1 attempts to characterise a unifying overview of the practice of software engineers, AI designers, developers of evolutionary forms of computation, designers of adapti...
Aaron Sloman
136
Voted
ICANN
1997
Springer
15 years 8 months ago
Minimalistic Approach to 3D Obstacle Avoidance Behavior from Simulated Evolution
We present a minimalistic approach to establish obstacle avoidance and course stabilization behavior of a simulated flying autonomous agent in a 3D virtual world. The agent uses v...
Titus R. Neumann, Susanne A. Huber, Heinrich H. B&...
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
15 years 7 months ago
Redundant genes and the evolution of robustness
In this paper we demonstrate that pressure for robustness combined with function sets containing redundant genes can cause an evolutionary system to avoid a more fit solution in f...
Russell Thomason, Terence Soule