易编远航A星寻路算法大话2实战

    A星寻路算法先容
    你是否在做一款游戏的时间想发明一些怪兽大概游戏主角，让它们移动到一定的地位，避开墙壁和停滞物呢？
    假如是的话，请看这篇教程，我们会展现怎样利用A星寻路算法来实现它！
    在网上已经有许多篇关于A星寻路算法的文章，但是大部门都是供给应已经相识根本原理的高等开辟者的。 

最短的路径是从终点开始，一步步返回到起点构成的（例子：在终点我们可以看到箭头指向右边，所以该方块的前继在它的左边）。

总的来说，我们可以用下面的伪代码，合成猫的寻找过程。这是Objective-C写的，但是你可以用任何的语言去实现它：

[openList add:originalSquare]; // start by adding the original position to the open list
do {
	currentSquare = [openList squareWithLowestFScore]; // Get the square with the lowest F score
 
	[closedList add:currentSquare]; // add the current square to the closed list
	[openList remove:currentSquare]; // remove it to the open list
 
	if ([closedList contains:destinationSquare]) { // if we added the destination to the closed list, we've found a path
		// PATH FOUND
		break; // break the loop
	}
 
	adjacentSquares = [currentSquare walkableAdjacentSquares]; // Retrieve all its walkable adjacent squares
 
	foreach (aSquare in adjacentSquares) {
 
		if ([closedList contains:aSquare]) { // if this adjacent square is already in the closed list ignore it
			continue; // Go to the next adjacent square
		}
 
		if (![openList contains:aSquare]) { // if its not in the open list
 
			// compute its score, set the parent
			[openList add:aSquare]; // and add it to the open list
 
		} else { // if its already in the open list
 
			// test if using the current G score make the aSquare F score lower, if yes update the parent because it means its a better path
 
		}
	}
 
} while(![openList isEmpty]); // Continue until there is no more available square in the open list (which means there is no path)