File Exchange

image thumbnail

Fractional Order Darwinian Particle Swarm Optimization

version 1.0 (4.72 KB) by

MatLab function for FDPSO (Fractional Order Darwinian Particle Swarm Optimization)



View License

fdpso - MatLab function for FDPSO
Fractional Order Darwinian Particle Swarm Optimization

Limited to optimization problems of nine variables but can easily be extended many more variables.

xbest = fdpso(func)
xbest - solution of the optimization problem. The number of columns depends on the input func. size(func,2)=number of xi variables
func - string containing a mathematic expression. Variables are defined as xi. For instance, func='2*x1+3*x2' means that it is an optimization problem of two variables.

[xbest,fit] = fdpso(func)
fit - returns the optimized value of func using the xbest solution.

[xbest,fit] = fdpso(func,xmin)
xmin - minimum value of xi. size(xmin,2)=number of xi variables. Default -100.

[xbest,fit] = fdpso(func,xmin,xmax)
xmax - maximum value of xi. size(xmax,2)=number of xi variables. Default 100.

[xbest,fit] = fdpso(func,xmin,xmax,type)
type - minimization 'min' or maximization 'max' of the problem. Default 'min'.

[xbest,fit] = fdpso(func,xmin,xmax,type,population)
population - number of the swarm population. Default 30.

[xbest,fit] = fdpso(func,xmin,xmax,type,population,iterations)
iterations - number of iterations. Default 300.

Example: xbest = fdpso('10+5*x1^2-0.8*x2',[-10 -20],[20 40],'min')

Micael S. Couceiro

Original PSO developed by:
Kennedy, J. and Eberhart, R. C. (1995).
"Particle swarm optimization".
Proceedings of the IEEE 1995 International Conference on Neural Networks, pp. 1942-1948.

Original DPSO developed by:
Tillett, J., Rao, T., Sahin, F., Rao, R. (2005).
"Darwinian particle swarm optimization"
Proceedings of the 2nd Indian International Conference on Artificial Intelligence (IICAI-05).

Extended Fractional-Order DPSO developed by:
Couceiro, M. S., Ferreira, N. M. F. and Machado, J. A. T. (2011).
"Fractional Order Darwinian Particle Swarm Optimization"
Proceedings of the Symposium on Fractional Signals and Systems (FSS’11).

Comments and Ratings (0)

MATLAB Release
MATLAB 7.12 (R2011a)

Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.

» Watch video

Win prizes and improve your MATLAB skills

Play today