jijzept_solver.solver_components

Module Contents

alm_simulated_annealing_solver(converted_ommx_instance_buf, id_translator, initial_ommx_state_buf, num_samples, seed, option, log_display=False, log_interval_sec=1.0, global_start_time=None)

Parameters:

• converted_ommx_instance_buf (bytes)

• id_translator (jijzept_solver.core.IdTranslator)

• initial_ommx_state_buf (Optional[bytes])

• num_samples (Optional[int])

• seed (Optional[int])

• option (jijzept_solver.solver_parameters.ALMSimulatedAnnealingOption)

• log_display (bool)

• log_interval_sec (float)

• global_start_time (Optional[float])

Return type:

list[list[tuple[int, float]]]

cbc_solver(converted_ommx_instance, option, initial_ommx_state=None)

Solve an optimization problem using the CBC solver via the OMMXPythonMIPAdapter.

Parameters:

• converted_ommx_instance (Instance) – The OMMX problem instance to solve.

• option (CBCOption) – Solver options, including time limits.

• initial_ommx_state (Optional[State], optional) – An initial solution state. Not used by this solver, but included for interface compatibility.

Returns:

The solution found by the CBC solver.

Return type:

Solution

Raises:

Exception – If the underlying solver fails or encounters an error during optimization.

convert_to_samples(result)

Parameters:

result (list[list[tuple[int, float]]])

Return type:

ommx.v1.Samples

local_ilp_solver(converted_ommx_instance_buf, id_translator, initial_ommx_state_buf, num_samples, seed, option, log_display=False, log_interval_sec=1.0, global_start_time=None)

Parameters:

• converted_ommx_instance_buf (bytes)

• id_translator (jijzept_solver.core.IdTranslator)

• initial_ommx_state_buf (Optional[bytes])

• num_samples (Optional[int])

• seed (Optional[int])

• option (jijzept_solver.solver_parameters.LocalILPOption)

• log_display (bool)

• log_interval_sec (float)

• global_start_time (Optional[float])

Return type:

list[list[tuple[int, float]]]

scip_solver(converted_ommx_instance, option, initial_ommx_state=None)

Parameters:

• converted_ommx_instance (ommx.v1.Instance)

• option (jijzept_solver.solver_parameters.SCIPOption)

• initial_ommx_state (Optional[ommx.v1.State])

Return type:

ommx.v1.Solution

weighted_hill_climbing_solver(converted_ommx_instance_buf, id_translator, initial_ommx_state_buf, num_samples, seed, option, log_display=False, log_interval_sec=1.0, global_start_time=None)

Parameters:

• converted_ommx_instance_buf (bytes)

• id_translator (jijzept_solver.core.IdTranslator)

• initial_ommx_state_buf (Optional[bytes])

• num_samples (Optional[int])

• seed (Optional[int])

• option (jijzept_solver.solver_parameters.WeightedHillClimbingOption)

• log_display (bool)

• log_interval_sec (float)

• global_start_time (Optional[float])

Return type:

list[list[tuple[int, float]]]

weighted_simulated_annealing_solver(converted_ommx_instance_buf, id_translator, initial_ommx_state_buf, num_samples, seed, option, log_display=False, log_interval_sec=1.0, global_start_time=None)

Parameters:

• converted_ommx_instance_buf (bytes)

• id_translator (jijzept_solver.core.IdTranslator)

• initial_ommx_state_buf (Optional[bytes])

• num_samples (Optional[int])

• seed (Optional[int])

• option (jijzept_solver.solver_parameters.WeightedSimulatedAnnealingOption)

• log_display (bool)

• log_interval_sec (float)

• global_start_time (Optional[float])

Return type:

list[list[tuple[int, float]]]