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GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
16 years 25 days ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
16 years 25 days ago
Stability in the self-organized evolution of networks
The modeling and analysis of large networks of autonomous agents is an important topic with applications in many different disciplines. One way of modeling the development of such...
Thomas Jansen, Madeleine Theile
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
16 years 25 days ago
Exploiting multiple robots to accelerate self-modeling
In previous work [8] a computational framework was demonstrated that allows a mobile robot to autonomously evolve models its own body for the purposes of adaptive behavior generat...
Josh C. Bongard
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 25 days 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
2007
Springer
230views Optimization» more  GECCO 2007»
16 years 25 days ago
Activation energy-based simulation for self-assembly of multi-shape tiles
Building artificial systems using self-assembly is one of the main issues of artificial life [17]. Scientists are trying to understand this process either using experimental appro...
Mostafa Mostafa Hashim Ellabaan
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