checkboxcontrols.java

经典的货郎担问题解决办法

      m_states[CBC_HEURISTIC_OPTIMIZE_NODES_NEAR_EVERY_CITY] =
        m_boxes[CBC_HEURISTIC_OPTIMIZE_NODES_NEAR_EVERY_CITY].getState();
    }
  }

  private static class ActionConfigPermuteASublist
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_PERMUTE_A_SUBLIST] =
        m_boxes[CBC_HEURISTIC_PERMUTE_A_SUBLIST].getState();
    }
  }

  private static class ActionConfigPermuteCutsNearAPoint
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_PERMUTE_CUTS_NEAR_A_POINT] =
        m_boxes[CBC_HEURISTIC_PERMUTE_CUTS_NEAR_A_POINT].getState();
    }
  }

  private static class ActionConfigPermuteCutsNearEveryCity
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_PERMUTE_CUTS_NEAR_EVERY_CITY] =
        m_boxes[CBC_HEURISTIC_PERMUTE_CUTS_NEAR_EVERY_CITY].getState();
    }
  }

  private static class ActionConfigPermuteSingles
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_PERMUTE_SINGLES] =
        m_boxes[CBC_HEURISTIC_PERMUTE_SINGLES].getState();
    }
  }

  private static class ActionConfigPermuteSublists
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_PERMUTE_SUBLISTS] =
        m_boxes[CBC_HEURISTIC_PERMUTE_SUBLISTS].getState();
    }
  }

  private static class ActionConfigQuasiQuickSort
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_QUASI_QUICK_SORT] =
        m_boxes[CBC_HEURISTIC_QUASI_QUICK_SORT].getState();
    }
  }

  private static class ActionConfigQuasiShellSortInverter
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_QUASI_SHELL_SORT_INVERTER] =
        m_boxes[CBC_HEURISTIC_QUASI_SHELL_SORT_INVERTER].getState();
    }
  }

  private static class ActionConfigQuasiShellSortSwapper
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_QUASI_SHELL_SORT_SWAPPER] =
        m_boxes[CBC_HEURISTIC_QUASI_SHELL_SORT_SWAPPER].getState();
    }
  }

  private static class ActionConfigRandomLoopCuts
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_RANDOM_LOOP_CUTS] =
        m_boxes[CBC_HEURISTIC_RANDOM_LOOP_CUTS].getState();
    }
  }

  private static class ActionConfigRandomLoopNodes
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_RANDOM_LOOP_NODES] =
        m_boxes[CBC_HEURISTIC_RANDOM_LOOP_NODES].getState();
    }
  }

  private static class ActionConfigRandomLoopNodesAndEdges
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_RANDOM_LOOP_NODES_AND_EDGES] =
        m_boxes[CBC_HEURISTIC_RANDOM_LOOP_NODES_AND_EDGES].getState();
    }
  }

  private static class ActionConfigSmoother
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_SMOOTHER] =
        m_boxes[CBC_HEURISTIC_SMOOTHER].getState();
    }
  }

  private static class ActionConfigSnowPlow
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_SNOW_PLOW] =
        m_boxes[CBC_HEURISTIC_SNOW_PLOW].getState();
    }
  }

  private static class ActionConfigSnowPlowSqueezebox
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_SNOW_PLOW_SQUEEZEBOX] =
        m_boxes[CBC_HEURISTIC_SNOW_PLOW_SQUEEZEBOX].getState();
    }
  }

  private static class ActionConfigSwap
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_HEURISTIC_SWAP] =
        m_boxes[CBC_HEURISTIC_SWAP].getState();
    }
  }

  private static class ActionConfigAllopatricDemes
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_METAHEURISTIC_ALLOPATRIC_DEMES] =
        m_boxes[CBC_METAHEURISTIC_ALLOPATRIC_DEMES].getState();
    }
  }

  private static class ActionConfigAnneal
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_METAHEURISTIC_ANNEALING] =
        m_boxes[CBC_METAHEURISTIC_ANNEALING].getState();
    }
  }

  private static class ActionConfigCoevolveCroppers
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_METAHEURISTIC_COEVOLVE_CROPPERS] =
        m_boxes[CBC_METAHEURISTIC_COEVOLVE_CROPPERS].getState();
    }
  }

  private static class ActionConfigSingleElitism
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_METAHEURISTIC_SINGLE_ELITISM] =
        m_boxes[CBC_METAHEURISTIC_SINGLE_ELITISM].getState();
    }
  }

  private static class ActionConfigTabu
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_METAHEURISTIC_TABU_SEARCH] =
        m_boxes[CBC_METAHEURISTIC_TABU_SEARCH].getState();
    }
  }

  private static class ActionConfigRouletteWheel
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {

/*
** I am a radio button, turn myself back on from the checkbox's point of
** view if I was clicked while already on from the state list point of
** view.
*/

      if (m_states[CBC_METAHEURISTIC_ROULETTE_WHEEL])
      {
        m_boxes[CBC_METAHEURISTIC_ROULETTE_WHEEL].setState(true);
      }

/*
** Now sample my state from the checkbox (though I already "know" it, in
** case that sampling has side effects I need.
*/

      m_states[CBC_METAHEURISTIC_ROULETTE_WHEEL] =
        m_boxes[CBC_METAHEURISTIC_ROULETTE_WHEEL].getState();

/*
** Finally, turn off all of my companion radio buttons in both checkbox
** and state list views.
*/

      if ( m_states[CBC_METAHEURISTIC_STRONG_TOURNEY] )
      {
        m_states[CBC_METAHEURISTIC_STRONG_TOURNEY] = false;
        m_boxes[CBC_METAHEURISTIC_STRONG_TOURNEY].setState(false);
      }

      if ( m_states[CBC_METAHEURISTIC_WEAK_TOURNEY] )
      {
        m_states[CBC_METAHEURISTIC_WEAK_TOURNEY] = false;
        m_boxes[CBC_METAHEURISTIC_WEAK_TOURNEY].setState(false);
      }

    }
  }

  private static class ActionConfigStrongTourney
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {

/*
** I am a radio button, turn myself back on from the checkbox's point of
** view if I was clicked while already on from the state list point of
** view.
*/

      if (m_states[CBC_METAHEURISTIC_STRONG_TOURNEY])
      {
        m_boxes[CBC_METAHEURISTIC_STRONG_TOURNEY].setState(true);
      }

/*
** Now sample my state from the checkbox (though I already "know" it, in
** case that sampling has side effects I need.
*/

      m_states[CBC_METAHEURISTIC_STRONG_TOURNEY] =
        m_boxes[CBC_METAHEURISTIC_STRONG_TOURNEY].getState();

/*
** Finally, turn off all of my companion radio buttons in both checkbox
** and state list views.
*/

      if ( m_states[CBC_METAHEURISTIC_ROULETTE_WHEEL] )
      {
        m_states[CBC_METAHEURISTIC_ROULETTE_WHEEL] = false;
        m_boxes[CBC_METAHEURISTIC_ROULETTE_WHEEL].setState(false);
      }

      if ( m_states[CBC_METAHEURISTIC_WEAK_TOURNEY] )
      {
        m_states[CBC_METAHEURISTIC_WEAK_TOURNEY] = false;
        m_boxes[CBC_METAHEURISTIC_WEAK_TOURNEY].setState(false);
      }

    }
  }

  private static class ActionConfigWeakTourney
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {

/*
** I am a radio button, turn myself back on from the checkbox's point of
** view if I was clicked while already on from the state list point of
** view.
*/

      if (m_states[CBC_METAHEURISTIC_WEAK_TOURNEY])
      {
        m_boxes[CBC_METAHEURISTIC_WEAK_TOURNEY].setState(true);
      }

/*
** Now sample my state from the checkbox (though I already "know" it, in
** case that sampling has side effects I need.
*/

      m_states[CBC_METAHEURISTIC_WEAK_TOURNEY] =
        m_boxes[CBC_METAHEURISTIC_WEAK_TOURNEY].getState();

/*
** Finally, turn off all of my companion radio buttons in both checkbox
** and state list views.
*/

      if ( m_states[CBC_METAHEURISTIC_ROULETTE_WHEEL] )
      {
        m_states[CBC_METAHEURISTIC_ROULETTE_WHEEL] = false;
        m_boxes[CBC_METAHEURISTIC_ROULETTE_WHEEL].setState(false);
      }

      if ( m_states[CBC_METAHEURISTIC_STRONG_TOURNEY] )
      {
        m_states[CBC_METAHEURISTIC_STRONG_TOURNEY] = false;
        m_boxes[CBC_METAHEURISTIC_STRONG_TOURNEY].setState(false);
      }

    }
  }

  private static class ActionConfigDelauneyTriangulationSeeds
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_SEED_FROM_DELAUNEY_TRIANGULATION] =
        m_boxes[CBC_SEED_FROM_DELAUNEY_TRIANGULATION].getState();

/*
** If we've tried to turn off all seeds, turn random seeds on again.
*/

      if
      (
        ! m_states[CBC_SEED_FROM_RANDOM_POINTS]
        &&
        ! m_states[CBC_SEED_FROM_MINIMAL_SPANNING_TREE]
        &&
        ! m_states[CBC_SEED_FROM_ELASTIC_NET]
        &&
        ! m_states[CBC_SEED_FROM_LOCAL_OPTIMIZATION]
        &&
        ! m_states[CBC_SEED_FROM_DELAUNEY_TRIANGULATION]
      )
      {
        m_states[CBC_SEED_FROM_RANDOM_POINTS] = true;
        m_boxes[CBC_SEED_FROM_RANDOM_POINTS].setState(true);
      }
    }
  }

  private static class ActionConfigElasticNetSeeds
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_SEED_FROM_ELASTIC_NET] =
        m_boxes[CBC_SEED_FROM_ELASTIC_NET].getState();

/*
** If we've tried to turn off all seeds, turn random seeds on again.
*/

      if
      (
        ! m_states[CBC_SEED_FROM_RANDOM_POINTS]
        &&
        ! m_states[CBC_SEED_FROM_MINIMAL_SPANNING_TREE]
        &&
        ! m_states[CBC_SEED_FROM_ELASTIC_NET]
        &&
        ! m_states[CBC_SEED_FROM_LOCAL_OPTIMIZATION]
        &&
        ! m_states[CBC_SEED_FROM_DELAUNEY_TRIANGULATION]
      )
      {
        m_states[CBC_SEED_FROM_RANDOM_POINTS] = true;
        m_boxes[CBC_SEED_FROM_RANDOM_POINTS].setState(true);
      }
    }
  }

  private static class ActionConfigLocalOptimizationSeeds
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_SEED_FROM_LOCAL_OPTIMIZATION] =
        m_boxes[CBC_SEED_FROM_LOCAL_OPTIMIZATION].getState();

/*
** If we've tried to turn off all seeds, turn random seeds on again.
*/

      if
      (
        ! m_states[CBC_SEED_FROM_RANDOM_POINTS]
        &&
        ! m_states[CBC_SEED_FROM_MINIMAL_SPANNING_TREE]
        &&
        ! m_states[CBC_SEED_FROM_ELASTIC_NET]
        &&
        ! m_states[CBC_SEED_FROM_LOCAL_OPTIMIZATION]
        &&
        ! m_states[CBC_SEED_FROM_DELAUNEY_TRIANGULATION]
      )
      {
        m_states[CBC_SEED_FROM_RANDOM_POINTS] = true;
        m_boxes[CBC_SEED_FROM_RANDOM_POINTS].setState(true);
      }
    }
  }

  private static class ActionConfigMinimalSpanningTreeSeeds
    implements ItemListener
  {
    public void itemStateChanged(ItemEvent event)
    {
      m_states[CBC_SEED_FROM_MINIMAL_SPANNING_TREE] =
        m_boxes[CBC_SEED_FROM_MINIMAL_SPANNING_TREE].getState();

/*
** If we've tried to turn off all seeds, turn random seeds on again.
*/

      if
      (
        ! m_states[CBC_SEED_FROM_RANDOM_POINTS]
        &&
        ! m_states[CBC_SEED_FROM_MINIMAL_SPANNING_TREE]