About Site Map Submit Contact Us Log in | Create an account
Create an account Log In
Average Rating
User Rating:
Visitors Rating:
My rating:

Write review
  • License: Freeware
  • Last update: 6 years ago
  • Total downloads: 154
  • Price: Free |
  • Operating system: Linux, Mac OS X, Win All, BSD, Solaris
  • Publisher: Rody Oldenhuis (11 other programs)
See full specifications

scripts default iconGODLIKE - A robust single-& multi-objective optimizer (Scripts) Publisher's description

GODLIKE (Global Optimum Determination by Linking and Interchanging Kindred Evaluators) is a generization of various population-based global optimization schemes

GODLIKE (Global Optimum Determination by Linking and Interchanging Kindred Evaluators) is a generization of various population-based global optimization schemes. Also, it handles both single- and multi-objective optimization, simply by adding additional objective functions.

GODLIKE solves optimization problems using relatively basic implementations of a genetic algorithm, differential evolution, particle swarm optimization and adaptive simulated annealing algorithms. Its power comes from the fact that these different algorithms run simultaneously (linked), and members from each population are occasionally swapped (interchanged) to decrease the chances of convergence to a local minimizer.

It is primarily intended to increase ROBUSTNESS, not efficiency as it usually requires more function evaluations than any of the algorithms separately. Its also inteded to do away with the need to fine-tune these algorithms each and every time you encounter an optimization problem, AND to generalize optimization itself (it's both a single and multi-objective optimizer), AND to generate simple plots to be used in quick reports etc.



% extended rosenbruck function
rosen = @(X) sum( 100*(X(:, 2:2:end) - X(:, 1:2:end-1).^2).^2 + (1 - X(:, 1:2:end-1)).^2, 2);

GODLIKE(rosen, 250, -10*ones(1,10), 10*ones(1,10), 'ms')

will produce a reasonably accurate approximation to the global minimum of the 10-dimensional rosenbruck problem
( sol ~ ([1,1,1,...]), fval ~ 0 )

(multi-objective optimization)

% basic Sin-Cos Pareto front
GODLIKE({@sin;@cos}, 100, 0, 2*pi, [], 'display', 'plot')

will generate a nice plot of the problem's Pareto front. Some more examples are included in the GODLIKE_DEMO.m, included in the ZIP.

(see the changelog for more detailed changes)
- Objective functions can now accept any 2-dimensional input. Your objective function should accept arguments equal in size to either [lb] or [ub], and return a simple scalar.
- I discovered I made some *severe* mistakes in the implementation of the global optimization algorithms. This caused large inefficiencies or inaccurate results. Most (hopefully all) of these mistakes are corrected now.
- Added 2more options for the algorithms: NetWorkTopology & ReHeat (see doc)
- Changed the [MinDescent] criterion to the more MATLAB-style 'TolX' and 'TolFun' options

System Requirements:

MATLAB 7.7 (R2008b)
Program Release Status: New Release
Program Install Support: Install and Uninstall

GODLIKE - A robust single-& multi-objective optimizer (Scripts) Tags:

Click on a tag to find related softwares

Is GODLIKE - A robust single-& multi-objective optimizer (Scripts) your software?

Manage your software

Most Popular

scripts default icon ASK, OOK, FSK, BPSK, QPSK, 8PSK modulation 1.1
ASK, OOK, FSK, BPSK, QPSK, 8PSK modulation contain several functions for digital modulation simulation
scripts default icon Simulink Communication Labs 1.1
Simulink Communication Labs allows you to learn communication systems in greater depth.
scripts default icon M-QAM modulation and demodulation 1.1
M-QAM modulation and demodulation is the QAM modulation and demodulation tech.
scripts default icon LZW Compression/Decompression 1.1
LZW Compression/Decompression - Updated LZW compressor and decompressor with reasonable performance
scripts default icon InSPIRE utility to plot a 2D displacement field (Scripts) 1.0
This program plots the deformation field (displace vectors) contained in vector.txt.