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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
16 years 25 days ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
ECAL
2005
Springer
16 years 6 days ago
Genetic Assimilation and Canalisation in the Baldwin Effect
The Baldwin Effect indicates that individually learned behaviours acquired during an organism’s lifetime can influence the evolutionary path taken by a population, without any di...
Rob Mills, Richard A. Watson
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
16 years 6 days ago
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...
Michelle McPartland, Stefano Nolfi, Hussein A. Abb...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
16 years 6 days ago
Evolution of multi-loop controllers for fixed morphology with a cyclic genetic algorithm
Cyclic genetic algorithms can be used to generate single loop control programs for robots. While successful in generating controllers for individual leg movement, gait generation,...
Gary B. Parker, Ramona Georgescu
GECCO
2004
Springer
16 years 2 days ago
Experimental Evaluation of Discretization Schemes for Rule Induction
This paper proposes an experimental evaluation of various discretization schemes in three different evolutionary systems for inductive concept learning. The various discretization...
Jesús S. Aguilar-Ruiz, Jaume Bacardit, Fede...