如果需要设置的话 和 下限基本一致 doublelb[2] = {5,10};//声明x的上限 第0个元素代表x[0] 第1个元素代表x[1]nlopt_set_upper_bounds(opt, lb);//设置x的上限 nlopt_set_min_objective(opt, myfunc,NULL);//设置目标函数 设置目标函数 ,第二个参数就是上面定义的目标函数的函数名,第三个参数是...
my_constraint_data data[2] = { {2,0}, {-1,1} };//不等式的外部参数 上面定义的结构体nlopt::optopt(nlopt::LD_SLSQP,2); opt.set_min_objective(myfunc,NULL); opt.add_inequality_constraint(myconstraint, &data[0],1e-8); opt.add_inequality_constraint(myconstraint, &data[1],1e-8)...
#include <nlopt.h> nlopt_opt opt = nlopt_create(algorithm, n); nlopt_set_min_objective(opt, f, f_data); nlopt_set_ftol_rel(opt, tol); ... nlopt_optimize(opt, x , &opt_f); nlopt_destroy(opt); The "..." indicates any number of calls to NLopt functions, below, to set...
opt->stopval = +HUGE_VAL;/* switch default from min to max */returnNLOPT_SUCCESS; }returnNLOPT_INVALID_ARGS; } 开发者ID:NoviaDroid,项目名称:MarioDifficulty,代码行数:13,代码来源:options.c 示例4: nlopt_set_precond_min_objective ▲点赞 1▼ nlopt_result NLOPT_STDCALLnlopt_set_precond_...
nlopt_set_min_objective(opt, myfunc, NULL); nlopt_add_equality_constraint(opt, myconstraint, NULL, tol); 其中,tol是等式约束函数的容错范围。 第六步:设置优化变量的下限和上限 在NLOpt中,可以使用以下格式设置优化变量的下限和上限: double lb[n] = {...}; double ub[n] = {...}; nlopt_se...
nlopt_set_min_objective(opter, utility, NULL);// 不等式约束；nlopt_add_inequality_constraint(opter, inconstraint, NULL, tol);// 等式约束；nlopt_add_equality_constraint(opter, constraint, NULL, tol);// 停⽌时需要的条件；nlopt_set_xtol_rel(opter, tol);// 开始优化；nlopt_result ...
self.opt.set_upper_bounds(ub) lb = np.zeros(self.n, dtype=float) self.opt.set_lower_bounds(lb)# set stopping criteriaself.opt.set_maxeval(2000) self.opt.set_ftol_rel(0.001)# set objective and constraint functionsself.opt.set_min_objective(self.compliance_function) ...
//objective function GET_VALUE(Function, minObjectiveFunction, options) GET_VALUE(Function, maxObjectiveFunction, options) if(!val_minObjectiveFunction.IsEmpty()){ code = nlopt_set_min_objective(opt, optimizationFunc, *val_minObjectiveFunction);...
nlopt_opt opter=nlopt_create( NLOPT_LD_SLSQP,2);//设置自变量下限;nlopt_set_lower_bounds(opter, lb);//目标函数;nlopt_set_min_objective(opter, utility, NULL);//不等式约束;nlopt_add_inequality_constraint(opter, inconstraint, NULL, tol);//等式约束;nlopt_add_equality_constraint(opter...
set_min_objective(f) opt.set_xtol_rel(1e-4) x = opt.optimize([2.0, 2.0]) minf = opt.last_optimum_value() print("optimum at ", x[0], x[1]) print("minimum value = ", minf) print("result code = ", opt.last_optimize_result()) if __name__=='__main__': scipy_simplest...