#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : qichun tang
# @Date : 2020-12-20
# @Contact : qichun.tang@bupt.edu.cn
from ConfigSpace import ConfigurationSpace, Configuration
__all__ = ["config_space", "evaluate"]
from ultraopt.benchmarks.synthetic_functions import MultiFidelityRosenbrock2D
synthetic_function_cls = MultiFidelityRosenbrock2D
config_space = ConfigurationSpace()
config_space.generate_all_continuous_from_bounds(synthetic_function_cls.get_meta_information()['bounds'])
synthetic_function = synthetic_function_cls()
# 定义目标函数
[文档]def evaluate(config: dict, budget=100):
config = Configuration(config_space, values=config)
return synthetic_function.objective_function(config, budget=budget)["function_value"] - \
synthetic_function.get_meta_information()["f_opt"]
