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GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
14 years 4 months ago
Evolving cooperative strategies for UAV teams
We present a Genetic Programming approach to evolve cooperative controllers for teams of UAVs. Our focus is a collaborative search mission in an uncertain and/or hostile environme...
Marc D. Richards, L. Darrell Whitley, J. Ross Beve...
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 2 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
WSC
2008
14 years 1 months ago
Unifying simulation and optimization of strategic sourcing and transportation
Proposed and developed is a framework and an extensible library of simulation modeling components for strategic sourcing and transportation. The components include items, supplier...
Malak Al-Nory, Alexander Brodsky
ISCAS
1999
IEEE
132views Hardware» more  ISCAS 1999»
14 years 3 months ago
Dynamic trellis diagrams for optimized DSP code generation
In this paper, we present the application of dynamic trellis diagrams (DTDs) to automatic translation of data flow graphs (DFGs) into highly optimized programs for digital signal ...
Stefan Fröhlich, Martin Gotschlich, Udo Krebe...
JMLR
2012
12 years 1 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell