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Solver Platform SDK - Genetic Algorithm in MATLAB
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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
Submitted Mar 26, 2006
by Daniel Fylstra
Updated Mar 27, 2006
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Lazy Learning Toolbox
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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/
Submitted Jul 02, 1999
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