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- Solver Platform SDK - Genetic Algorithm in MATLAB
The Solver Platform SDK gives MATLAB users access to a powerful hybrid Evolutionary/Classical Solver that uses genetic algorithm methods such as mutation, crossover, selection and constraint repair, but also uses deterministic, gradient-free direct search methods, classical gradient-based quasi-Newton methods, and even the Simplex method for linear subsets of the constraints. This Solver handles optimization problems with hundreds of constraints, which are typically beyond the capabilities of genetic and evolutionary algorithms alone.
http://www.solver.com/sdkplatform3.htm
(Added: Mar 26, 2006 Hits: 443 Rating: 0.00 Votes: 0)
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- Lazy Learning Toolbox
Lazy learning (Aha, 1997) is a memory-based technique that postpones all the computation until an explicit request for a prediction is received. The request is fulfilled by interpolating locally the examples considered relevant according to a distance measure. Each prediction requires therefore a local modeling procedure that can be seen as composed of a structural and of a parametric identification.
http://iridia0.ulb.ac.be/~lazy/
(Added: Jul 02, 1999 Hits: 331 Rating: 0.00 Votes: 0)
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