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» Unsupervised Problem Decomposition Using Genetic Programming
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IWINAC
2005
Springer
15 years 3 months ago
GA-Selection Revisited from an ES-Driven Point of View
Whereas the selection concept of Genetic Algorithms (GAs) and Genetic Programming (GP) is basically realized by the selection of above-average parents for reproduction, Evolution S...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...
CPHYSICS
2006
127views more  CPHYSICS 2006»
14 years 9 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 1 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
AOR
2010
14 years 7 months ago
Computing general static-arbitrage bounds for European basket options via Dantzig-Wolfe decomposition
We study the problem of computing general static-arbitrage bounds for European basket options; that is, computing bounds on the price of a basket option, given the only assumption...
Javier Peña, Xavier Saynac, Juan Carlos Ver...
CP
2005
Springer
15 years 3 months ago
Tree Decomposition with Function Filtering
Besides search, complete inference methods can also be used to solve soft constraint problems. Their main drawback is the high spatial complexity. To improve its practical usage, w...
Martí Sánchez, Javier Larrosa, Pedro...