code: def constructor(self, random, args):
          
          self._use_ants = True
          candidate = []
          while len(candidate) < len(self.components):
              # Find feasible components
              feasible_components = []
              if len(candidate) == 0:
                  feasible_components = self.components
              else:
                  remaining_capacity = self.capacity - sum([c.element for c in candidate])
                  if self.duplicates:
                      feasible_components = [c for c in self.components if c.element <= remaining_capacity]
                  else:
                      feasible_components = [c for c in self.components if c not in candidate and c.element <= remaining_capacity]
              if len(feasible_components) == 0:
                  break
              else:
                  # Choose a feasible component
                  if random.random() <= self.bias:
                      next_component = max(feasible_components)
                  else:
                      next_component = selectors.fitness_proportionate_selection(random, feasible_components, {'num_selected': 1})[0]
                  candidate.append(next_component)
          return candidate
docs: Return a candidate solution for an ant colony optimization.