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我正在尝试对 Lisp 中的拼图“8-puzzle”实施启发式搜索策略 A*。

要运行我的搜索,我使用以下命令: (run-best '(0 1 2 3 4 5 6 B 7) '(0 1 2 3 4 5 6 7 B))

其中第一个状态是开始目标,第二个是最终目标。

但是,我的程序运行了很长时间。最终,我认为它会stack-overflow。*编辑:它并没有耗尽内存,但是它花了 30 分钟,比我的广度优先搜索要长得多。

搜索算法代码:

;;; This is one of the example programs from the textbook:
;;;
;;; Artificial Intelligence: 
;;; Structures and strategies for complex problem solving
;;;
;;; by George F. Luger and William A. Stubblefield
;;;
;;; Corrections by Christopher E. Davis (chris2d@cs.unm.edu)
;;; insert-by-weight will add new child states to an ordered list of 
;;; states-to-try.  
(defun insert-by-weight (children sorted-list)
  (cond ((null children) sorted-list)
        (t (insert (car children) 
           (insert-by-weight (cdr children) sorted-list)))))

(defun insert (item sorted-list)
  (cond ((null sorted-list) (list item))
        ((< (get-weight item) (get-weight (car sorted-list)))
         (cons item sorted-list))
        (t (cons (car sorted-list) (insert item (cdr sorted-list))))))


;;; run-best is a simple top-level "calling" function to run best-first-search

(defun run-best (start goal)
  (declare (special *goal*)
           (special *open*)
           (special *closed*))
  (setq *goal* goal)
  (setq *open* (list (build-record start nil 0 (heuristic start))))
  (setq *closed* nil)
  (best-first))

;;; These functions handle the creation and access of (state parent) 
;;; pairs.

(defun build-record (state parent depth weight) 
  (list state parent depth weight))

(defun get-state (state-tuple) (nth 0 state-tuple))

(defun get-parent (state-tuple) (nth 1 state-tuple))

(defun get-depth (state-tuple) (nth 2 state-tuple))

(defun get-weight (state-tuple) (nth 3 state-tuple))

(defun retrieve-by-state (state list)
  (cond ((null list) nil)
        ((equal state (get-state (car list))) (car list))
        (t (retrieve-by-state state (cdr list)))))


;; best-first defines the actual best-first search algorithm
;;; it uses "global" open and closed lists.

(defun best-first ()
  (declare (special *goal*)
           (special *open*)
           (special *closed*)
           (special *moves*))
  (print "open =") (print *open*)
  (print "closed =") (print *closed*)
  (cond ((null *open*) nil)
        (t (let ((state (car *open*)))
             (setq *closed* (cons state *closed*))
             (cond ((equal (get-state state) *goal*) (reverse (build-solution *goal*)))
                   (t (setq *open* 
                            (insert-by-weight 
                                    (generate-descendants (get-state state)
                                                          (1+ (get-depth state))
                                                          *moves*)
                                    (cdr *open*)))
                      (best-first)))))))


;;; generate-descendants produces all the descendants of a state

(defun generate-descendants (state depth moves)
  (declare (special *closed*)
           (special *open*))
  (cond ((null moves) nil)
        (t (let ((child (funcall (car moves) state))
                 (rest (generate-descendants state depth (cdr moves))))
             (cond ((null child) rest)
                   ((retrieve-by-state child rest) rest)
                   ((retrieve-by-state child *open*) rest)
                   ((retrieve-by-state child *closed*) rest)
                   (t (cons (build-record child state depth 
                                          (+ depth (heuristic child))) 
                            rest)))))))


(defun build-solution (state)
  (declare (special *closed*))
  (cond ((null state) nil)
        (t (cons state (build-solution 
                        (get-parent 
                         (retrieve-by-state state *closed*)))))))

8puzzle 的启发式函数:

(defun hole (grid)
  "Return integer index into GRID at which the 'hole' is located."
  (position '0 grid))

(defun col (pair)
  (car pair))

(defun row (pair)
  (cdr pair))

(defun coords (index1)
  "Transform INDEX, an integer index into the list, into an (X . Y)
coordinate pair for a 3x3 grid."
  (cons (second (multiple-value-list (floor index1 3)))
    (floor index1 3)))

(defun index1 (coords)
  "Transform COORDS, an (X . Y) coordinate pair for a 3x3 grid, into
an integer index."
  (+ (col coords)
     (* 3 (row coords))))

(defun swap (a b list)
  "Return a new list equivalent to LIST but with the items at indexes
A and B swapped."
  (let ((new (copy-seq list)))
    (setf (nth a new)
      (nth b list))
    (setf (nth b new)
      (nth a list))
    new))

(defun right1 (grid)
  "Move the 'hole' on the 3x3 GRID one space to the right.  If there
is no space to the right, return NIL."
  (let ((hole (coords (hole grid))))
    (if (= 2 (col hole))
    nil
    (swap (index1 hole)
          (index1 (cons (1+ (col hole)) (row hole)))
          grid))))

(defun left1 (grid)
  "Move the 'hole' on the 3x3 GRID one space to the left.  If there
is no space to the left, return NIL."
  (let ((hole (coords (hole grid))))
    (if (zerop (col hole))
    nil
    (swap (index1 hole)
          (index1 (cons (1- (col hole)) (row hole)))
          grid))))

(defun up (grid)
  "Move the 'hole' on the 3x3 GRID one space up.  If there is no space
up, return NIL."
  (let ((hole (coords (hole grid))))
    (if (zerop (row hole))
    nil
    (swap (index1 (cons (col hole) (1- (row hole))))
          (index1 hole)
          grid))))

(defun down (grid)
  "Move the 'hole' on the 3x3 GRID one space down.  If there is no
space down, return NIL."
  (let ((hole (coords (hole grid))))
    (if (= 2 (row hole))
    nil
    (swap (index1 (cons (col hole) (1+ (row hole))))
          (index1 hole)
          grid))))

;Moves
(setq *moves*
  '(right1 left1 up down))

;heuristics for puzzle8
 (defun heuristic (state)
  (declare (special *goal*))
  (heuristic-eval state *goal*))

 (defun heuristic-eval (state goal)
  (cond ((null state) 0)
        ((equal (car state) (car goal)) 
        (heuristic-eval (cdr state) (cdr goal)))
        (t (1+ (heuristic-eval (cdr state) (cdr goal))))))
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2 回答 2

2

代码中的问题:

  • 递归。编写循环以避免堆栈溢出

  • 可能很长的打开和关闭列表。打开和关闭列表可能很长。一种操作是检查列表中是否存在具有某种状态的记录。我会使用哈希表来记录状态,然后使用该表来检查状态是否存在。

我的代码版本

没有解决方案:

CL-USER 220 > (time (run-best '(0 1 2 3 4 5 6 7 8)
                              '(0 2 1 3 4 5 6 7 8)
                              '(right1 left1 up down)))
Timing the evaluation of (RUN-BEST (QUOTE (0 1 2 3 4 5 6 7 8))
                                   (QUOTE (0 2 1 3 4 5 6 7 8))
                                   (QUOTE (RIGHT1 LEFT1 UP DOWN)))

User time    =  0:01:05.620
System time  =        0.220
Elapsed time =  0:01:05.749
Allocation   = 115386560 bytes
22397 Page faults
NO-SOLUTION

解决方案:

CL-USER 223 > (time (pprint (run-best '(2 1 5 3 4 6 0 8 7)
                                      '(0 1 2 3 4 5 6 7 8)
                                      '(right1 left1 up down))))
Timing the evaluation of (PPRINT (RUN-BEST (QUOTE (2 1 5 3 4 6 0 8 7))
                                           (QUOTE (0 1 2 3 4 5 6 7 8))
                                           (QUOTE (RIGHT1 LEFT1 UP DOWN))))

((2 1 5 3 4 6 0 8 7)
 (2 1 5 0 4 6 3 8 7)
 (2 1 5 4 0 6 3 8 7)
 (2 0 5 4 1 6 3 8 7)
 (0 2 5 4 1 6 3 8 7)
 (4 2 5 0 1 6 3 8 7)
 (4 2 5 1 0 6 3 8 7)
 (4 2 5 1 6 0 3 8 7)
 (4 2 5 1 6 7 3 8 0)
 (4 2 5 1 6 7 3 0 8)
 (4 2 5 1 0 7 3 6 8)
 (4 2 5 1 7 0 3 6 8)
 (4 2 0 1 7 5 3 6 8)
 (4 0 2 1 7 5 3 6 8)
 (0 4 2 1 7 5 3 6 8)
 (1 4 2 0 7 5 3 6 8)
 (1 4 2 3 7 5 0 6 8)
 (1 4 2 3 7 5 6 0 8)
 (1 4 2 3 0 5 6 7 8)
 (1 0 2 3 4 5 6 7 8)
 (0 1 2 3 4 5 6 7 8))
User time    =        0.115
System time  =        0.001
Elapsed time =        0.103
Allocation   = 2439744 bytes
194 Page faults
于 2015-10-19T22:48:51.360 回答
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试试 memoize 实用程序。你可以在这里找到一个相关的问题(How do I memoize a recursive function in Lisp?)。Memoize 跟踪对任何 memoized 函数的调用,并立即返回任何已知(先前计算的)结果以避免重新计算它们。在像你这样的递归函数的情况下,结果是惊人的。

于 2015-10-19T05:54:10.350 回答