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ossrs

version 1.0.0.0 (1.51 KB) by Sheela Belur
A random search method[1] for the optimization of a function of n variables.

4.9K Downloads

Updated 10 Jun 1998

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Optimized Step Size Random Search(OSSRS) A random search method[1] for the optimization of a function of n variables. Can be used as a start-up before using a determistic method like Simplex method of Nelder and Mead to arrive at the region of the optimum and then switch to a deterministic search.

The function to be minimized is to be deifned in the m function called fun.m. 'n' is the number of variables. x is the vector of initial variables. 'std' can be set based on the range of variation of the variables- about 10% of x- the initial values-should be right.

The following demo function is included:

Minimize: f(x)=(x(1)-5)^2+(x(2)+8)^2
Solution: [5,-8]

Reference:

Sheela Belur V, An Optimized Step Size Random Search , Computer Methods in Appl. Mech & Engg, Vol. 19, 99-106 , 1979

Tested under MATLAB 4.2c & 5

Cite As

Sheela Belur (2021). ossrs (https://www.mathworks.com/matlabcentral/fileexchange/100-ossrs), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R10
Compatible with any release
Platform Compatibility
Windows macOS Linux
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