Docstrings

HyperoptOptions: options performing starting point optimization using Hyperopt.jl

• sub_options: options for the sub-optimizer.
• lb: Lower bound of starting point, if don't specify it, the default value will be nothing, then will end up be replaced by the lower bound of optimization problem.
• ub: Upper bound of starting point, same as above.
• searchspace_size::Integer: How many potential starting points we generate.
• iters::Integer: Among all generated potential starting points, how many of them will be evaluated.
• sampler::Hyperopt.Sampler: An instance of 'Hyperopt.Sampler', which decides search algorithm.
• ctol: infeasibility tolerance for accepting a solution as feasible
• keep_all: if true, all the solutions of the sub-problems will be saved

HyperoptResult

When using multiple x0 in optimize, return this result, including following fields:

• minimum: the optimal value among all searches.
• minmizer: the optimal solutions found.
• results: all the search results.
• optimal_ind: the index of the optimal solution in results.