Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Testing Unconstrained Optimization Software
ACM Transactions on Mathematical Software (TOMS)
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
Convergence of the Nelder--Mead Simplex Method to a Nonstationary Point
SIAM Journal on Optimization
Fortified-Descent Simplicial Search Method: A General Approach
SIAM Journal on Optimization
Multidirectional search: a direct search algorithm for parallel machines
Multidirectional search: a direct search algorithm for parallel machines
A restarted and modified simplex search for unconstrained optimization
Computers and Operations Research
Digital redesign of uncertain interval systems via a hybrid particle swarm optimiser
International Journal of Innovative Computing and Applications
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We propose a variant of the Nelder-Mead algorithm derived from a reinterpretation of univariate golden-section direct search. In the univariate case, convergence of the variant can be analyzed analogously to golden-section search. In the multivariate case, we modify the variant by replacing strict descent with fortified descent and maintaining the interior angles of the simplex bounded away from zero. Convergence of the modified variant can be analyzed by applying results for a fortified-descent simplicial search method. Some numerical experience with the variant is reported.