hots.plugins.optimization.pyomo_model

Pyomo-based optimization plugin for HOTS (single concrete implementation).

class hots.plugins.optimization.pyomo_model.PyomoModel(params: dict, instance)

Bases: OptimizationPlugin

Concrete optimization backend using Pyomo.

add_mustlink()

Add mustLink constraints for fixing solution.

add_mustlink_instance()

Add mustLink constraints for fixing solution.

build(*, u_mat=None, w_mat=None, v_mat=None, dv_mat=None)

Create and store a concrete Pyomo model instance for this pb_number.

build_constraints()

Build all the constraints.

build_objective()

Define objective function.

build_parameters()

Build all Pyomo Params and Sets from data.

build_variables()

Define decision variables for clustering (1) or business problem (2).

create_data()

Build data dictionnary to instanciate abstract model and build ready-to-solve model.

fill_dual_values()

Extract duals for the ‘must_link’ constraints after solve(). Returns a mapping from index (container tuple) to its dual value.

solve(*, solver: str | None = None)

Solve the current concrete instance (labels optional for compatibility).

update_adjacency_constraints(matrix)

Update constraints fixing u or v variables from new solution.

update_dv(dv)

Update directly the dv param in instance from new dv matrix.

update_obj_place(dv)

Update the objective for placement with new dv matrix.

update_size_model(dict_id_c, new_df_indiv=None, u_mat=None, w_mat=None, v_mat=None, dv_mat=None)

Rebuild the abstract & concrete models when the set of containers changes (e.g. new/deleted containers).

update_sol_u(u)

Update directly u variable from new adjacency matrix.

update_sol_v(v_matrix)

Update directly v variable from new adjacency matrix.

update_w(w)

Update directly the w param in instance from new w matrix.

write_infile(fname=None)

Export optimization model in file.