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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 2 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
ICPPW
2009
IEEE
15 years 4 months ago
Autonomic SLA Management in Federated Computing Environments
—Federated computing environments offer requestors the ability to dynamically invoke services offered by collaborating providers in the virtual service network. Without an effici...
Pawel Rubach, Michael W. Sobolewski
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
14 years 10 months ago
Automated shape composition based on cell biology and distributed genetic programming
Motivated by the ability of living cells to form specific shapes and structures, we present a computational approach using distributed genetic programming to discover cell-cell i...
Linge Bai, Manolya Eyiyurekli, David E. Breen
PPSN
2004
Springer
15 years 3 months ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke
106
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SEMWEB
2009
Springer
15 years 4 months ago
Semantically Enabled Temporal Reasoning in a Virtual Observatory
The Virtual Solar-Terrestrial Observatory (VSTO) is a distributed, scalable education and research environment for searching, integrating, and analyzing observational, experimental...
Patrick West, Eric Rozell, Stephan Zednik, Peter F...