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Pallas Solver
0.1
C++ Global Optimization Algorithms
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Contains a summary of the optimization. More...
#include <differential_evolution.h>

Public Member Functions | |
| Summary () | |
| Default constructor. | |
| std::string | BriefReport () const |
| std::string | FullReport () const |
Public Attributes | |
| TerminationType | termination_type |
| MutationStrategyType | mutation_strategy |
| CrossoverStrategyType | crossover_strategy |
| std::string | message |
| double | final_cost |
| GradientLocalMinimizer::Summary | local_minimization_summary |
| unsigned int | num_parameters |
| unsigned int | num_iterations |
| double | total_time_in_seconds |
| double | local_minimization_time_in_seconds |
| double | cost_evaluation_time_in_seconds |
| bool | was_polished |
| HistorySeries | history |
Contains a summary of the optimization.
This struct contains the result of the optimization and has convenience methods for printing reports of a completed optimization.
| string pallas::DifferentialEvolution::Summary::BriefReport | ( | ) | const |
A brief one line description of the state of the solver after termination.
| string pallas::DifferentialEvolution::Summary::FullReport | ( | ) | const |
A full multi-line description of the state of the solver after termination.
| double pallas::DifferentialEvolution::Summary::cost_evaluation_time_in_seconds |
time spent evaluating cost function (outside local minimization)
| CrossoverStrategyType pallas::DifferentialEvolution::Summary::crossover_strategy |
The crossover strategy to use. Should be one of BINOMIAL or EXPONENTIAL.
| double pallas::DifferentialEvolution::Summary::final_cost |
Cost of the problem (value of the objective function) after the optimization.
| HistorySeries pallas::DifferentialEvolution::Summary::history |
History of the system saved on the interval specified by the history_save_frequency option.
| GradientLocalMinimizer::Summary pallas::DifferentialEvolution::Summary::local_minimization_summary |
Summary from the local minimization polishing step (if performed).
| double pallas::DifferentialEvolution::Summary::local_minimization_time_in_seconds |
time spent in local minimizer (if polishing was done).
| std::string pallas::DifferentialEvolution::Summary::message |
Message describing why the solver terminated.
| MutationStrategyType pallas::DifferentialEvolution::Summary::mutation_strategy |
The mutation strategy to use. Should be one of BEST_1, RAND_1, RAND_TO_BEST_1, BEST_2, or RAND_2.
| unsigned int pallas::DifferentialEvolution::Summary::num_iterations |
Number of times the population was evolved
| unsigned int pallas::DifferentialEvolution::Summary::num_parameters |
Number of parameters in the problem.
| TerminationType pallas::DifferentialEvolution::Summary::termination_type |
Reason optimization was terminated
| double pallas::DifferentialEvolution::Summary::total_time_in_seconds |
total time elapsed in global minimizer
| bool pallas::DifferentialEvolution::Summary::was_polished |
whether global minimum was polished after differential evolution completed
1.8.11