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» Methods for Artificial Evolution of Truly Cooperative Robots
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GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving an ecology of two-tiered organizations
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Travis Kriplean
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 4 months ago
Evolving virtual creatures revisited
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
Peter Krcah
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 3 months ago
Toward evolved flight
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
Rusty Hunt, Gregory Hornby, Jason D. Lohn
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 4 months ago
XCSF with computed continuous action
Wilson introduced XCSF as a successor to XCS. The major development of XCSF is the concept of a computed prediction. The efficiency of XCSF in dealing with numerical input and con...
Trung Hau Tran, Cédric Sanza, Yves Duthen, ...
GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
14 years 11 months ago
Self-managing agents for dynamic scheduling in manufacturing
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Ana Madureira, Filipe Santos, Ivo Pereira