Gaussian Quantum-Behaved Particle Swarm Optimization
The folder contain the Gaussian Q-PSO main code (GQPSO) and 11 functions for benchmark (+ the Gaussian Q-PSO original article).
EXAMPLE:
fun = @griewankfcn;
D = 30;
nPop = 50;
lb = -600;
ub = 600;
maxit = 1000;
maxeval = 10000*D;
[xmin,fmin,histout] = GQPSO(fun,D,nPop,lb,ub,maxit,maxeval);
OR DIRECTLY:
[xmin,fmin,histout] = GQPSO(@griewankfcn,30,50,-600,600,1000,10000*30);
Cita come
dos Santos Coelho, Leandro. “Gaussian Quantum-Behaved Particle Swarm Optimization Approaches for Constrained Engineering Design Problems.” Expert Systems with Applications, vol. 37, no. 2, Elsevier BV, Mar. 2010, pp. 1676–83, doi:10.1016/j.eswa.2009.06.044.
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- Mathematics and Optimization > Global Optimization Toolbox > Particle Swarm >
- Sciences > Physics > Quantum Mechanics >
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