```python
import gurobipy as gp

# Create a new model
m = gp.Model("optimization_problem")

# Create variables
apples = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="apples")
chicken_breasts = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="chicken_breasts")
slices_of_pizza = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="slices_of_pizza")
steaks = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="steaks")
potatoes = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="potatoes")
bowls_of_cereal = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="bowls_of_cereal")

# Set objective function
m.setObjective(6.67 * apples**2 + 5.66 * apples * chicken_breasts + 1.8 * apples * slices_of_pizza + 8.53 * apples * steaks + 9.8 * apples * potatoes + 4.04 * apples * bowls_of_cereal + 7.73 * chicken_breasts**2 + 4.55 * chicken_breasts * slices_of_pizza + 8.43 * chicken_breasts * steaks + 3.42 * chicken_breasts * potatoes + 4.94 * chicken_breasts * bowls_of_cereal + 1.1 * slices_of_pizza**2 + 3.81 * slices_of_pizza * steaks + 4.57 * slices_of_pizza * potatoes + 7.57 * slices_of_pizza * bowls_of_cereal + 3.87 * steaks * potatoes + 7.99 * steaks * bowls_of_cereal + 7.51 * potatoes**2 + 2.59 * potatoes * bowls_of_cereal + 6.67 * apples + 8.15 * chicken_breasts + 6.95 * slices_of_pizza + 9.83 * steaks + 3.09 * potatoes + 3.88 * bowls_of_cereal, gp.GRB.MINIMIZE)

# Add constraints
m.addConstr(3 * slices_of_pizza**2 + 8 * bowls_of_cereal**2 >= 45)
m.addConstr(19 * apples + 17 * steaks >= 63)
m.addConstr(19 * apples + 8 * bowls_of_cereal >= 46)
m.addConstr(11 * chicken_breasts + 8 * bowls_of_cereal >= 23)
m.addConstr(11 * chicken_breasts + 11 * potatoes >= 48)
m.addConstr(19 * apples**2 + 11 * potatoes**2 >= 43)
m.addConstr(11 * chicken_breasts + 3 * slices_of_pizza >= 32)
m.addConstr(3 * slices_of_pizza + 11 * potatoes >= 59)
m.addConstr(11 * potatoes + 8 * bowls_of_cereal >= 40)
m.addConstr(11 * chicken_breasts**2 + 17 * steaks**2 >= 32)
m.addConstr(17 * steaks**2 + 8 * bowls_of_cereal**2 >= 28)
m.addConstr(3 * slices_of_pizza + 17 * steaks >= 32)
m.addConstr(11 * chicken_breasts + 17 * steaks + 8 * bowls_of_cereal >= 62)
m.addConstr(3 * slices_of_pizza + 17 * steaks + 11 * potatoes >= 62)
m.addConstr(19 * apples + 3 * slices_of_pizza + 11 * potatoes >= 62)
m.addConstr(11 * chicken_breasts**2 + 3 * slices_of_pizza**2 + 8 * bowls_of_cereal**2 >= 62)
m.addConstr(19 * apples + 11 * chicken_breasts + 11 * potatoes >= 62)
m.addConstr(3 * slices_of_pizza + 17 * steaks + 8 * bowls_of_cereal >= 62)
m.addConstr(19 * apples + 3 * slices_of_pizza + 8 * bowls_of_cereal >= 62)
m.addConstr(19 * apples + 11 * potatoes + 8 * bowls_of_cereal >= 62)
m.addConstr(11 * chicken_breasts**2 + 17 * steaks**2 + 8 * bowls_of_cereal**2 >= 60)
m.addConstr(3 * slices_of_pizza + 17 * steaks + 11 * potatoes >= 60)
m.addConstr(19 * apples + 3 * slices_of_pizza + 11 * potatoes >= 60)
m.addConstr(11 * chicken_breasts**2 + 3 * slices_of_pizza**2 + 8 * bowls_of_cereal**2 >= 60)
m.addConstr(19 * apples**2 + 11 * chicken_breasts**2 + 11 * potatoes**2 >= 60)
m.addConstr(3 * slices_of_pizza**2 + 17 * steaks**2 + 8 * bowls_of_cereal**2 >= 60)
m.addConstr(19 * apples**2 + 3 * slices_of_pizza**2 + 8 * bowls_of_cereal**2 >= 60)
m.addConstr(19 * apples**2 + 11 * potatoes**2 + 8 * bowls_of_cereal**2 >= 60)


# Healthiness constraint
healthiness = {'apples': 19, 'chicken_breasts': 11, 'slices_of_pizza': 3, 'steaks': 17, 'potatoes': 11, 'bowls_of_cereal': 8}
m.addConstr(19*apples + 11*chicken_breasts + 3*slices_of_pizza + 17*steaks + 11*potatoes + 8*bowls_of_cereal <= 378)


# ... (rest of the constraints - added above)

# Optimize model
m.optimize()

# Print results
if m.status == gp.GRB.OPTIMAL:
    print('Obj: %g' % m.objVal)
    for v in m.getVars():
        print('%s %g' % (v.varName, v.x))
elif m.status == gp.GRB.INFEASIBLE:
    print('Optimization problem is infeasible.')
else:
    print('Optimization ended with status %d' % m.status)
```