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Highlights from
Simple Example of Simulated Annealing Optimization
- U=energy(Qs,rs,drs,z_s)
- Xp=perturbation(X,sigma)
- [X f_old]=best_initial(X1,X2,...
- [X1 X2 X3 X4]=start_points(n) Generate initial configuration of n points
- [X_best f_best nd]=annealing(...
- [out f_out]=boltz(Xp,X,f_new,...
- [x0,Ob_init,i,pl]=pattern(x_i...
- [x_out Ob_out]=p_search(x, Ob...
- out=check_constr_drs(dRs)
- out=check_constr_r2(Rs,dRs)
- out=check_constr_rs(Rs)
- out=check_constr_zs(Zs)
- out=f(Qs,rs,drs,zs) Objective function f=F1+F2;
- sigma=adaption(sigma,success,... ratio=success/Nv;
- energy_c.m
- field_worst.m
- start_annealing.m
- View all files
Simple Example of Simulated Annealing Optimization
18 Mar 2011 Example of developing a hybrid solution (Simulated Annealing + Pattern Search) for a case of study. |
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