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GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
16 years 24 days ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
16 years 24 days ago
The effect of learning on life history evolution
A series of evolutionary neural network simulations are presented which explore the hypothesis that learning factors can result in the evolution of long periods of parental protec...
John A. Bullinaria
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 24 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
158views Optimization» more  GECCO 2007»
16 years 24 days ago
A leader-based parallel cross entropy algorithm for MCP
The Cross Entropy algorithm is a new search method for combinatorial problem. However, it needs considerable computational time to achieve good solution quality. To make the Cross...
Zhanhua Bai, Qiang Lv
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
16 years 24 days ago
A systemic computation platform for the modelling and analysis of processes with natural characteristics
Computation in biology and in conventional computer architectures seem to share some features, yet many of their important characteristics are very different. To address this, [1]...
Erwan Le Martelot, Peter J. Bentley, R. Beau Lotto
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