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Genetic algorithms
MathWorks - Genetic Algorithm and Direct Search Toolbox
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The Genetic Algorithm and Direct Search Toolbox extends the optimization capabilities in MATLAB and the Optimization Toolbox with tools for using the genetic and direct search algorithms.
Submitted Jan 23, 2004
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| Free Online Seminar: Advanced Optimization Using MATLAB
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Optimization is an important and expanding area that helps engineers and scientists find improved solutions to their problems. MATLAB and the Optimization Toolbox provide powerful capabilities for optimization with robust algorithms for general and large-scale optimization, linear programming, quadratic programming, nonlinear equations, and more.
Submitted Mar 12, 2003
Updated Feb 06, 2004
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| GA Toolbox
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A module that contains software routines for implementing genetic algorithms (GAs) and other evolutionary computing techniques.
Submitted Jul 02, 1999
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| Genetic Algorithm Optimization Toolbox
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GAOT implements simulated evolution in the MATLAB environment using both binary and real representations. Ordered base representation has also been added to the toolbox. This implementation is very flexible in the genetic operators, selection functions, termination functions as well as the evaluation functions that can be used. The implementation is described in a technical paper.
Submitted Jul 10, 1999
Updated Jan 23, 2004
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| Genetic Algorithms Toolbox for MATLAB
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There seems to be much unmet demand for a GA routine in MATLAB, so I'll make mine available. It's easy to use, as its syntax is fairly close to MATLAB's fmins routine. It works, but I can't make any claims for sophistication (hey, I'm an economist, not a computer scientist, and I don't follow the GA literature closely).
Submitted Jul 10, 1999
Updated May 03, 2004
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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.
Submitted Jul 02, 1999
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| GEATbx
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Welcome to the main page of the Genetic and Evolutionary Algorithm Toolbox (GEATbx) for use with MATLAB. The GEATbx is the most comprehensive implementation of Evolutionary Algorithms in
MATLAB. A broad range of operators is fully integrated into one environment constituting a powerful optimization tool applicable to a wide range of problems.
Submitted Jul 10, 1999
Updated Mar 10, 2004
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| Genetic Search Toolbox
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The Genetic Search Toolbox provides an integrated environment for formulating and carrying out genetic searches. The toolbox contains commands for creating, manipulating, and destroying chromosomes, managing chromosome populations, selecting chromosomes based on a variety of criteria, and obtaining population statistics.
Submitted Mar 16, 2004
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