/*
**AI的入口，得到最终最优解
*/
void get_move(int who, int deep)
{
int bottom, top, i, move_weight, best_weight;
if (!empties()) return;
if ((empties() < 11) && deep) deep = 13; /*快结束时加大搜索力度*/
bottom = moves_next; /*起点*/
get_all(who); /*得到当前所有可能步骤*/
top = moves_next; /*终点*/
if (bottom == top)
{
unget_all();
return;
}
/*初始化各值*/
best_x = moves_x[bottom];
best_y = moves_y[bottom];
best_weight = weigh_move(best_x, best_y, who, deep, 1);
/*
**初始化结束
**开始测试各值
*/
for (i = bottom + 1; i < top; ++i)
{
move_weight = weigh_move(moves_x[i], moves_y[i], who, deep, 1);
if (move_weight > best_weight || ((move_weight == best_weight) && rand() % 2)) /*如果找到更优解*/
{
best_x = moves_x[i];
best_y = moves_y[i];
best_weight = move_weight;
}
}
unget_all();
}
/*
**AI的核心，得到当前走法的权重
*/
int weigh_move(int x, int y, int who, int max_depth, int add)
{
int bottom, top, i, move_weight = 0, depth_weight = 0, temp;
bottom = flips_next;
make_move(x, y, who);
top = flips_next;
for (i = bottom; i < top; ++i)
move_weight += (add ? 1 : (-1)) * weight[flips_x[i]][flips_y[i]];
if (max_depth && empties())
{
who = OPPOSITE(who);
add = !add;
bottom = moves_next;
get_all(who);
top = moves_next;
for(i = bottom; i < top; ++i)
{
temp = weigh_move(moves_x[i], moves_y[i], who, max_depth - 1, add);
if(temp < depth_weight)
depth_weight = temp;
}
unget_all();
}
undo_move();
return move_weight + depth_weight;
}
bool Foam::timeClusterList::purgeEmpties()
{
if (!this->size()) return false;
label empties(0);
for (label i = 0; i < this->size(); i++)
{
if (!this->operator[](i).times().size())
{
empties++;
continue;
}
if (empties)
{
this->operator[](i - empties) = this->operator[](i);
}
}
if (empties)
{
this->setSize(this->size() - empties);
}
if (!this->size()) return false;
return true;
}
