/dports/math/py-nevergrad/nevergrad-0.4.3.post2/nevergrad/optimization/multiobjective/ |
H A D | test_core.py | 36 front = [p.value for p in hvol.pareto_front()] 51 front = [p.value for p in hvol.pareto_front()] 116 for param in sorted(optimizer.pareto_front(), key=lambda p: p.losses[0]): 124 print("Random subset:", optimizer.pareto_front(2, subset="random")) 127 print("EPS subset:", optimizer.pareto_front(2, subset="EPS")) 130 assert len(optimizer.pareto_front()) > 1 131 assert len(optimizer.pareto_front(2, "loss-covering")) == 2 132 assert len(optimizer.pareto_front(2, "domain-covering")) == 2 133 assert len(optimizer.pareto_front(2, "hypervolume")) == 2 134 assert len(optimizer.pareto_front(2, "random")) == 2 [all …]
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H A D | core.py | 118 for param in self.pareto_front(): 142 def pareto_front( member in HypervolumePareto
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/dports/math/py-optuna/optuna-2.10.0/optuna/study/ |
H A D | _multi_objective.py | 26 pareto_front = [last_nondominated_trial] 31 pareto_front.append(trial) 34 pareto_front.sort(key=lambda trial: trial.number) 35 return pareto_front 39 pareto_front = [] 51 pareto_front.append(trial) 53 return pareto_front
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/NOMAD/src/ |
H A D | Evaluator_Control.hpp | 144 NOMAD::Pareto_Front * pareto_front ) const; 267 NOMAD::Pareto_Front * pareto_front , 287 NOMAD::Pareto_Front * pareto_front , 310 NOMAD::Pareto_Front * pareto_front , 358 NOMAD::Pareto_Front * pareto_front , 395 NOMAD::Pareto_Front * pareto_front , 561 NOMAD::Pareto_Front * pareto_front , 665 NOMAD::Pareto_Front * pareto_front , 764 NOMAD::Pareto_Front * pareto_front ,
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H A D | Evaluator_Control.cpp | 263 if ( pareto_front ) in process_eval_point() 268 pareto_front->insert ( x ) && in process_eval_point() 1429 NOMAD::Pareto_Front * pareto_front , in receive_eval_result() argument 1554 pareto_front , in wait_for_evaluations() 1763 pareto_front , in private_eval_list_of_points() 1885 pareto_front , in private_eval_list_of_points() 2031 pareto_front , in private_eval_list_of_points() 2200 pareto_front , in private_eval_list_of_points() 2279 pareto_front , in private_eval_list_of_points() 2295 pareto_front , in private_eval_list_of_points() [all …]
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H A D | Multi_Obj_Evaluator.hpp | 100 const NOMAD::Pareto_Front & pareto_front ) {} in update_mads_run() argument
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H A D | VNS_Search.cpp | 430 NOMAD::Pareto_Front * pareto_front = mads.get_pareto_front(); in search() local 558 pareto_front , in search() 585 pareto_front , in search() 591 pareto_front , in search()
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H A D | Phase_One_Evaluator.hpp | 151 const NOMAD::Pareto_Front & pareto_front , in update_iteration() argument
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H A D | Evaluator.hpp | 196 const NOMAD::Pareto_Front & pareto_front , in update_iteration() argument
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H A D | Extended_Poll.cpp | 364 NOMAD::Pareto_Front * pareto_front = mads.get_pareto_front(); in descent() local 438 pareto_front , in descent() 467 pareto_front , in descent() 474 pareto_front , in descent()
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/NOMAD/examples/advanced/plot/ |
H A D | nomad_plot.cpp | 119 const Pareto_Front & pareto_front ); 139 const Pareto_Front & pareto_front ) { in update_mads_run() argument 174 int nb_pareto_pts = pareto_front.size(); in update_mads_run() 179 cur = pareto_front.begin(); in update_mads_run() 185 cur = pareto_front.next(); in update_mads_run()
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/dports/math/py-nevergrad/nevergrad-0.4.3.post2/nevergrad/ops/ |
H A D | constraints.py | 53 return optim.pareto_front()[0] 77 best = optimizer.pareto_front()[0]
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/dports/math/py-optuna/optuna-2.10.0/optuna/multi_objective/ |
H A D | study.py | 458 pareto_front = [] 470 pareto_front.append(trial) 472 return pareto_front
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/NOMAD/examples/advanced/restart/ |
H A D | restart.cpp | 31 const Pareto_Front & pareto_front , 64 const Pareto_Front & pareto_front , in update_iteration() argument
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/dports/devel/py-hypothesis/hypothesis-6.28.0/src/hypothesis/internal/conjecture/ |
H A D | engine.py | 129 self.pareto_front = ParetoFront(self.random) 130 self.pareto_front.on_evict(self.on_pareto_evict) 132 self.pareto_front = None 236 if self.pareto_front is not None and self.pareto_front.add(data.as_result()): 554 if data not in self.pareto_front: 870 if self.pareto_front is not None:
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H A D | pareto.py | 284 self.front = self.__engine.pareto_front
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/dports/math/py-nevergrad/nevergrad-0.4.3.post2/nevergrad/functions/ |
H A D | helpers.py | 64 hypervolume.pareto_front(
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/NOMAD/examples/interfaces/Matlab_MEX/Source/ |
H A D | nomadmex.cpp | 1024 NOMAD::Pareto_Front * pareto_front=mads->get_pareto_front(); in mexFunction() local 1026 if ( pareto_front ) in mexFunction() 1029 int nb_pareto_pts = pareto_front->size(); in mexFunction() 1035 const NOMAD::Eval_Point * cur = pareto_front->begin(); in mexFunction() 1054 cur = pareto_front->next(); in mexFunction()
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/dports/math/py-nevergrad/nevergrad-0.4.3.post2/nevergrad/optimization/ |
H A D | differentialevolution.py | 153 pareto = self.pareto_front() 204 pareto_uids = {c.uid for c in self.pareto_front()}
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H A D | callbacks.py | 100 data["#pareto-length"] = len(optimizer.pareto_front())
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H A D | base.py | 192 def pareto_front( member in Optimizer 219 else self._hypervolume_pareto.pareto_front(
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/dports/math/py-deap/deap-1.3.1/examples/ga/ |
H A D | nsga3.py | 111 pf = problem.pareto_front(ref_points)
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/JEGA/docs/users/ch_introduction/ |
H A D | introduction.tex | 214 as shown in Figure~\ref{fig:pareto_front} below. The blue line in 219 \includegraphics[scale=0.45]{../../images/pareto_front.eps} 221 \label{fig:pareto_front}
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/NOMAD/tools/SENSITIVITY/detailed_analysis/ |
H A D | detailed_analysis.cpp | 133 const NOMAD::Pareto_Front & pareto_front ); 211 const NOMAD::Pareto_Front & pareto_front ) { in update_mads_run() argument
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/dports/math/py-nevergrad/nevergrad-0.4.3.post2/nevergrad/benchmark/ |
H A D | xpbase.py | 216 self.result["loss"] = pfunc.evaluation_function(*opt.pareto_front())
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