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» Evolving Crossover Operators for Function Optimization
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GECCO
2004
Springer
14 years 25 days ago
High Temperature Experiments for Circuit Self-Recovery
Temperature and radiation tolerant electronics, as well as long life survivability are key capabilities required for future NASA missions. Current approaches to electronics for ext...
Didier Keymeulen, Ricardo Salem Zebulum, Vu Duong,...
AAAI
2007
13 years 9 months ago
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
Bobby D. Bryant, Risto Miikkulainen
EAAI
2010
119views more  EAAI 2010»
13 years 6 months ago
A heuristic-based framework to solve a complex aircraft sizing problem
Aircraft sizing studies consist in determining the main characteristics of an aircraft starting from a set of requirements. These studies can be summarized as global constrained o...
Céline Badufle, Christophe Blondel, Thierry...
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 20 days ago
System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs
Initial results have been achieved for automatic synthesis of MEMS system-level lumped parameter models using genetic programming and bond graphs. This paper first discusses the ne...
Zhun Fan, Kisung Seo, Jianjun Hu, Ronald C. Rosenb...
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 7 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski