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Optimization
*Linear Programming
*Quadratic Programming
*Unconstrained Optimization
*Constrained Optimization, Nonlinear Programming
*Linear Least Squares
*Constrained Nonlinear Least Squares
*Box-bounded Global Optimization
*Global Optimization, costly functions
*Mixed-Integer Programming
*Mixed-Integer Quadratic Programming
*Mixed-Integer Nonlinear Programming
*Semi-definite Programming

Box-bounded Global Optimization

Recommended Downloads:

TOMLAB /SOL and
TOMLAB /CGO
TOMLAB /LGO

For box-bounded global optimization the TOMLAB Base Module solvers glbSolve and glcSolve are suitable. They utilize no derivative information and implement two slight variations of the DIRECT algorithm. For higher dimensions, the algorithm in glcSolve is often faster. The glcSolve implementation of DIRECT also handles linear and nonlinear constraints, and integer variables. It is normally better to use the two faster FORTRAN implementations of glbSolve and glcSolve called glbFast and glcFast. The TOMLAB /CGO toolbox and glcCluster should be tested for all global optimization problem, preferably in combination with a fast local solver. TOMLAB /LGO, the latest addition to the global optimization options in TOMLAB is an excellent option for all problems. See the LGO page for more information.

Solver reference:

TOMLAB /CGO - rbfSolve
TOMLAB /CGO - EGO
TOMLAB Base Module - glcCluster
TOMLAB Base Module - glbSolve
TOMLAB Base Module - glcSolve
TOMLAB Base Module - glbFast
TOMLAB Base Module - glcFast

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