Finished example, ran black

Author: stephenscini

pyomo/contrib/multistart/multi.py

@@ -120,7 +120,7 @@ def __init__(
         self.suppress_unbounded_warning = self.declare(
             "suppress_unbounded_warning",
             ConfigValue(
-                default=False,
+                default=True,
                 domain=bool,
                 description="True to suppress warning for skipping unbounded variables.",
             ),
@@ -217,8 +217,8 @@ def solve(self, model, **kwds):
         )
 
         # Set options so infeasible solve does not interrupt runs
-        config.solver_args["load_solutions"] = False
-        config.solver_args["raise_exception_on_nonoptimal_result"] = False
+        # config.solver_args["load_solutions"] = False
+        # config.solver_args["raise_exception_on_nonoptimal_result"] = False
 
         solver = SolverFactory(config.solver)
 

pyomo/devel/initialization/examples/init_polynomial_ex.py

@@ -55,17 +55,25 @@ def global_init_ex():
 
 def multistart_init_ex():
     m = build_model()
+    m.obj = pyo.Objective(expr=0)
     nlp_solver = SolverFactory('ipopt')
-    global_solver = SolverFactory('scip_direct')
-    results = ini.initialize_with_global_opt(
-        nlp=m, nlp_solver=nlp_solver, global_solver=global_solver
-    )
+    multistart_solver = pyo.SolverFactory('multistart')
 
-    return results.solution_status, m.x.value
+    multistart_solver.CONFIG.iterations = 50
+
+    opts = {"load_solutions": False, "raise_exception_on_nonoptimal_result": False}
+    multistart_solver.CONFIG.strategy = "rand"
+    multistart_solver.CONFIG.solver_args = opts
+
+    results = ini.initialize_with_multistart_opt(
+        nlp=m, nlp_solver=nlp_solver, multistart_solver=multistart_solver, seed=145
+    )
+    return results, m.x.value
 
 
 if __name__ == '__main__':
     # stat, x = lp_init_ex()
     # stat, x = pwl_init_ex()
     stat, x = global_init_ex()
+    # stat, x = multistart_init_ex()
     print(stat, round(x, 4))