cuddAnneal.c File Reference

#include "misc/util/util_hack.h"
#include "cuddInt.h"

Go to the source code of this file.

Macros
#define	BETA   0.6
#define	ALPHA   0.90
#define	EXC_PROB   0.4
#define	JUMP_UP_PROB   0.36
#define	MAXGEN_RATIO   15.0
#define	STOP_TEMP   1.0

Functions
static int	stopping_criterion (int c1, int c2, int c3, int c4, double temp)
static double	random_generator (void)
static int	ddExchange (DdManager *table, int x, int y, double temp)
static int	ddJumpingAux (DdManager *table, int x, int x_low, int x_high, double temp)
static Move *	ddJumpingUp (DdManager *table, int x, int x_low, int initial_size)
static Move *	ddJumpingDown (DdManager *table, int x, int x_high, int initial_size)
static int	siftBackwardProb (DdManager *table, Move *moves, int size, double temp)
static void	copyOrder (DdManager *table, int *array, int lower, int upper)
static int	restoreOrder (DdManager *table, int *array, int lower, int upper)
int	cuddAnnealing (DdManager *table, int lower, int upper)

Variables
static char rcsid[]	DD_UNUSED = "$Id: cuddAnneal.c,v 1.14 2004/08/13 18:04:46 fabio Exp $"

Macro Definition Documentation

#define ALPHA   0.90

Definition at line 78 of file cuddAnneal.c.

#define BETA   0.6

CFile***********************************************************************

FileName [cuddAnneal.c]

PackageName [cudd]

Synopsis [Reordering of DDs based on simulated annealing]

Description [Internal procedures included in this file:

• cuddAnnealing()

Static procedures included in this file:

• stopping_criterion()
• random_generator()
• ddExchange()
• ddJumpingAux()
• ddJumpingUp()
• ddJumpingDown()
• siftBackwardProb()
• copyOrder()
• restoreOrder()

]

SeeAlso []

Author [Jae-Young Jang, Jorgen Sivesind]

Copyright [Copyright (c) 1995-2004, Regents of the University of Colorado

All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

Neither the name of the University of Colorado nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.]

Definition at line 77 of file cuddAnneal.c.

#define EXC_PROB   0.4

Definition at line 79 of file cuddAnneal.c.

#define JUMP_UP_PROB   0.36

Definition at line 80 of file cuddAnneal.c.

#define MAXGEN_RATIO   15.0

Definition at line 81 of file cuddAnneal.c.

#define STOP_TEMP   1.0

Definition at line 82 of file cuddAnneal.c.

Function Documentation

static void copyOrder ( DdManager *  table, int *  array, int  lower, int  upper  )

static

Function********************************************************************

Synopsis [Copies the current variable order to array.]

Description [Copies the current variable order to array. At the same time inverts the permutation.]

SideEffects [None]

SeeAlso []

Definition at line 762 of file cuddAnneal.c.

{
    int i;
    int nvars;

    nvars = upper - lower + 1;
    for (i = 0; i < nvars; i++) {
        array[i] = table->invperm[i+lower];
    }

} /* end of copyOrder */

int cuddAnnealing	(	DdManager *	table,
		int	lower,
		int	upper
	)

AutomaticEnd Function********************************************************************

Synopsis [Get new variable-order by simulated annealing algorithm.]

Description [Get x, y by random selection. Choose either exchange or jump randomly. In case of jump, choose between jump_up and jump_down randomly. Do exchange or jump and get optimal case. Loop until there is no improvement or temperature reaches minimum. Returns 1 in case of success; 0 otherwise.]

SideEffects [None]

SeeAlso []

Definition at line 158 of file cuddAnneal.c.

{
    int         nvars;
    int         size;
    int         x,y;
    int         result;
    int         c1, c2, c3, c4;
    int         BestCost;
    int         *BestOrder;
    double      NewTemp, temp;
    double      rand1;
    int         innerloop, maxGen;
    int         ecount, ucount, dcount;
   
    nvars = upper - lower + 1;

    result = cuddSifting(table,lower,upper);
#ifdef DD_STATS
    (void) fprintf(table->out,"\n");
#endif
    if (result == 0) return(0);

    size = table->keys - table->isolated;

    /* Keep track of the best order. */
    BestCost = size;
    BestOrder = ABC_ALLOC(int,nvars);
    if (BestOrder == NULL) {
        table->errorCode = CUDD_MEMORY_OUT;
        return(0);
    }
    copyOrder(table,BestOrder,lower,upper);

    temp = BETA * size;
    maxGen = (int) (MAXGEN_RATIO * nvars);

    c1 = size + 10;
    c2 = c1 + 10;
    c3 = size;
    c4 = c2 + 10;
    ecount = ucount = dcount = 0;
 
    while (!stopping_criterion(c1, c2, c3, c4, temp)) {
#ifdef DD_STATS
        (void) fprintf(table->out,"temp=%f\tsize=%d\tgen=%d\t",
                       temp,size,maxGen);
        tosses = acceptances = 0;
#endif
        for (innerloop = 0; innerloop < maxGen; innerloop++) {
            /* Choose x, y  randomly. */
            x = (int) Cudd_Random() % nvars;
            do {
                y = (int) Cudd_Random() % nvars;
            } while (x == y);
            x += lower;
            y += lower;
            if (x > y) {
                int tmp = x;
                x = y;
                y = tmp;
            }

            /* Choose move with roulette wheel. */
            rand1 = random_generator();
            if (rand1 < EXC_PROB) {
                result = ddExchange(table,x,y,temp);       /* exchange */
                ecount++;
#if 0
                (void) fprintf(table->out,
                               "Exchange of %d and %d: size = %d\n",
                               x,y,table->keys - table->isolated);
#endif
            } else if (rand1 < EXC_PROB + JUMP_UP_PROB) {
                result = ddJumpingAux(table,y,x,y,temp); /* jumping_up */
                ucount++;
#if 0
                (void) fprintf(table->out,
                               "Jump up of %d to %d: size = %d\n",
                               y,x,table->keys - table->isolated);
#endif
            } else {
                result = ddJumpingAux(table,x,x,y,temp); /* jumping_down */
                dcount++;
#if 0
                (void) fprintf(table->out,
                               "Jump down of %d to %d: size = %d\n",
                               x,y,table->keys - table->isolated);
#endif
            }

            if (!result) {
                ABC_FREE(BestOrder);
                return(0);
            }

            size = table->keys - table->isolated;       /* keep current size */
            if (size < BestCost) {                      /* update best order */
                BestCost = size;
                copyOrder(table,BestOrder,lower,upper);
            }
        }
        c1 = c2;
        c2 = c3;
        c3 = c4;
        c4 = size;
        NewTemp = ALPHA * temp;
        if (NewTemp >= 1.0) {
            maxGen = (int)(log(NewTemp) / log(temp) * maxGen);
        }
        temp = NewTemp;                 /* control variable */
#ifdef DD_STATS
        (void) fprintf(table->out,"uphill = %d\taccepted = %d\n",
                       tosses,acceptances);
        fflush(table->out);
#endif
    }

    result = restoreOrder(table,BestOrder,lower,upper);
    ABC_FREE(BestOrder);
    if (!result) return(0);
#ifdef DD_STATS
    fprintf(table->out,"#:N_EXCHANGE %8d : total exchanges\n",ecount);
    fprintf(table->out,"#:N_JUMPUP   %8d : total jumps up\n",ucount);
    fprintf(table->out,"#:N_JUMPDOWN %8d : total jumps down",dcount);
#endif
    return(1);

} /* end of cuddAnnealing */

static int ddExchange ( DdManager *  table, int  x, int  y, double  temp  )

static

Function********************************************************************

Synopsis [This function is for exchanging two variables, x and y.]

Description [This is the same funcion as ddSwapping except for comparison expression. Use probability function, exp(-size_change/temp).]

SideEffects [None]

SeeAlso []

Definition at line 359 of file cuddAnneal.c.

{
    Move       *move,*moves;
    int        tmp;
    int        x_ref,y_ref;
    int        x_next,y_next;
    int        size, result;
    int        initial_size, limit_size;

    x_ref = x;
    y_ref = y;

    x_next = cuddNextHigh(table,x);
    y_next = cuddNextLow(table,y);
    moves = NULL;
    initial_size = limit_size = table->keys - table->isolated;

    for (;;) {
        if (x_next == y_next) {
            size = cuddSwapInPlace(table,x,x_next);
            if (size == 0) goto ddExchangeOutOfMem;
            move = (Move *)cuddDynamicAllocNode(table);
            if (move == NULL) goto ddExchangeOutOfMem;
            move->x = x;
            move->y = x_next;
            move->size = size;
            move->next = moves;
            moves = move;
            size = cuddSwapInPlace(table,y_next,y);
            if (size == 0) goto ddExchangeOutOfMem;
            move = (Move *)cuddDynamicAllocNode(table);
            if (move == NULL) goto ddExchangeOutOfMem;
            move->x = y_next;
            move->y = y;
            move->size = size;
            move->next = moves;
            moves = move;
            size = cuddSwapInPlace(table,x,x_next);
            if (size == 0) goto ddExchangeOutOfMem;
            move = (Move *)cuddDynamicAllocNode(table);
            if (move == NULL) goto ddExchangeOutOfMem;
            move->x = x;
            move->y = x_next;
            move->size = size;
            move->next = moves;
            moves = move;

            tmp = x;
            x = y;
            y = tmp;
        } else if (x == y_next) {
            size = cuddSwapInPlace(table,x,x_next);
            if (size == 0) goto ddExchangeOutOfMem;
            move = (Move *)cuddDynamicAllocNode(table);
            if (move == NULL) goto ddExchangeOutOfMem;
            move->x = x;
            move->y = x_next;
            move->size = size;
            move->next = moves;
            moves = move;
            tmp = x;
            x = y;
            y = tmp;
        } else {
            size = cuddSwapInPlace(table,x,x_next);
            if (size == 0) goto ddExchangeOutOfMem;
            move = (Move *)cuddDynamicAllocNode(table);
            if (move == NULL) goto ddExchangeOutOfMem;
            move->x = x;
            move->y = x_next;
            move->size = size;
            move->next = moves;
            moves = move;
            size = cuddSwapInPlace(table,y_next,y);
            if (size == 0) goto ddExchangeOutOfMem;
            move = (Move *)cuddDynamicAllocNode(table);
            if (move == NULL) goto ddExchangeOutOfMem;
            move->x = y_next;
            move->y = y;
            move->size = size;
            move->next = moves;
            moves = move;
            x = x_next;
            y = y_next;
        }

        x_next = cuddNextHigh(table,x);
        y_next = cuddNextLow(table,y);
        if (x_next > y_ref) break;

        if ((double) size > DD_MAX_REORDER_GROWTH * (double) limit_size) {
            break;
        } else if (size < limit_size) {
            limit_size = size;
        }
    }

    if (y_next>=x_ref) {
        size = cuddSwapInPlace(table,y_next,y);
        if (size == 0) goto ddExchangeOutOfMem;
        move = (Move *)cuddDynamicAllocNode(table);
        if (move == NULL) goto ddExchangeOutOfMem;
        move->x = y_next;
        move->y = y;
        move->size = size;
        move->next = moves;
        moves = move;
    }

    /* move backward and stop at best position or accept uphill move */
    result = siftBackwardProb(table,moves,initial_size,temp);
    if (!result) goto ddExchangeOutOfMem;

    while (moves != NULL) {
        move = moves->next;
        cuddDeallocMove(table, moves);
        moves = move;
    }
    return(1);

ddExchangeOutOfMem:
    while (moves != NULL) {
        move = moves->next;
        cuddDeallocMove(table, moves);
        moves = move;
    }
    return(0);

} /* end of ddExchange */

static int ddJumpingAux ( DdManager *  table, int  x, int  x_low, int  x_high, double  temp  )

static

Function********************************************************************

Synopsis [Moves a variable to a specified position.]

Description [If x==x_low, it executes jumping_down. If x==x_high, it executes jumping_up. This funcion is similar to ddSiftingAux. Returns 1 in case of success; 0 otherwise.]

SideEffects [None]

SeeAlso []

Definition at line 508 of file cuddAnneal.c.

{
    Move       *move;
    Move       *moves;        /* list of moves */
    int        initial_size;
    int        result;

    initial_size = table->keys - table->isolated;

#ifdef DD_DEBUG
    assert(table->subtables[x].keys > 0);
#endif

    moves = NULL;

    if (cuddNextLow(table,x) < x_low) {
        if (cuddNextHigh(table,x) > x_high) return(1);
        moves = ddJumpingDown(table,x,x_high,initial_size);
        /* after that point x --> x_high unless early termination */
        if (moves == NULL) goto ddJumpingAuxOutOfMem;
        /* move backward and stop at best position or accept uphill move */
        result = siftBackwardProb(table,moves,initial_size,temp);
        if (!result) goto ddJumpingAuxOutOfMem;
    } else if (cuddNextHigh(table,x) > x_high) {
        moves = ddJumpingUp(table,x,x_low,initial_size);
        /* after that point x --> x_low unless early termination */
        if (moves == NULL) goto ddJumpingAuxOutOfMem;
        /* move backward and stop at best position or accept uphill move */
        result = siftBackwardProb(table,moves,initial_size,temp);
        if (!result) goto ddJumpingAuxOutOfMem;
    } else {
        (void) fprintf(table->err,"Unexpected condition in ddJumping\n");
        goto ddJumpingAuxOutOfMem;
    }
    while (moves != NULL) {
        move = moves->next;
        cuddDeallocMove(table, moves);
        moves = move;
    }
    return(1);

ddJumpingAuxOutOfMem:
    while (moves != NULL) {
        move = moves->next;
        cuddDeallocMove(table, moves);
        moves = move;
    }
    return(0);

} /* end of ddJumpingAux */

static Move * ddJumpingDown ( DdManager *  table, int  x, int  x_high, int  initial_size  )

static

Function********************************************************************

Synopsis [This function is for jumping down.]

Description [This is a simplified version of ddSiftingDown. It does not use lower bounding. Returns the set of moves in case of success; NULL if memory is full.]

SideEffects [None]

SeeAlso []

Definition at line 638 of file cuddAnneal.c.

{
    Move       *moves;
    Move       *move;
    int        y;
    int        size;
    int        limit_size = initial_size;

    moves = NULL;
    y = cuddNextHigh(table,x);
    while (y <= x_high) {
        size = cuddSwapInPlace(table,x,y);
        if (size == 0) goto ddJumpingDownOutOfMem;
        move = (Move *)cuddDynamicAllocNode(table);
        if (move == NULL) goto ddJumpingDownOutOfMem;
        move->x = x;
        move->y = y;
        move->size = size;
        move->next = moves;
        moves = move;
        if ((double) size > table->maxGrowth * (double) limit_size) {
            break;
        } else if (size < limit_size) {
            limit_size = size;
        }
        x = y;
        y = cuddNextHigh(table,x);
    }
    return(moves);

ddJumpingDownOutOfMem:
    while (moves != NULL) {
        move = moves->next;
        cuddDeallocMove(table, moves);
        moves = move;
    }
    return(NULL);

} /* end of ddJumpingDown */

static Move * ddJumpingUp ( DdManager *  table, int  x, int  x_low, int  initial_size  )

static

Function********************************************************************

Synopsis [This function is for jumping up.]

Description [This is a simplified version of ddSiftingUp. It does not use lower bounding. Returns the set of moves in case of success; NULL if memory is full.]

SideEffects [None]

SeeAlso []

Definition at line 579 of file cuddAnneal.c.

{
    Move       *moves;
    Move       *move;
    int        y;
    int        size;
    int        limit_size = initial_size;

    moves = NULL;
    y = cuddNextLow(table,x);
    while (y >= x_low) {
        size = cuddSwapInPlace(table,y,x);
        if (size == 0) goto ddJumpingUpOutOfMem;
        move = (Move *)cuddDynamicAllocNode(table);
        if (move == NULL) goto ddJumpingUpOutOfMem;
        move->x = y;
        move->y = x;
        move->size = size;
        move->next = moves;
        moves = move;
        if ((double) size > table->maxGrowth * (double) limit_size) {
            break;
        } else if (size < limit_size) {
            limit_size = size;
        }
        x = y;
        y = cuddNextLow(table,x);
    }
    return(moves);

ddJumpingUpOutOfMem:
    while (moves != NULL) {
        move = moves->next;
        cuddDeallocMove(table, moves);
        moves = move;
    }
    return(NULL);

} /* end of ddJumpingUp */

static double random_generator ( void  )

static

Function********************************************************************

Synopsis [Random number generator.]

Description [Returns a double precision value between 0.0 and 1.0.]

SideEffects [None]

SeeAlso []

Definition at line 339 of file cuddAnneal.c.

{
    return((double)(Cudd_Random() / 2147483561.0));

} /* end of random_generator */

static int restoreOrder ( DdManager *  table, int *  array, int  lower, int  upper  )

static

Function********************************************************************

Synopsis [Restores the variable order in array by a series of sifts up.]

Description [Restores the variable order in array by a series of sifts up. Returns 1 in case of success; 0 otherwise.]

SideEffects [None]

SeeAlso []

Definition at line 792 of file cuddAnneal.c.

{
    int i, x, y, size;
    int nvars = upper - lower + 1;

    for (i = 0; i < nvars; i++) {
        x = table->perm[array[i]];
#ifdef DD_DEBUG
    assert(x >= lower && x <= upper);
#endif
        y = cuddNextLow(table,x);
        while (y >= i + lower) {
            size = cuddSwapInPlace(table,y,x);
            if (size == 0) return(0);
            x = y;
            y = cuddNextLow(table,x);
        }
    }

    return(1);

} /* end of restoreOrder */

static int siftBackwardProb ( DdManager *  table, Move *  moves, int  size, double  temp  )

static

Function********************************************************************

Synopsis [Returns the DD to the best position encountered during sifting if there was improvement.]

Description [Otherwise, "tosses a coin" to decide whether to keep the current configuration or return the DD to the original one. Returns 1 in case of success; 0 otherwise.]

SideEffects [None]

SeeAlso []

Definition at line 698 of file cuddAnneal.c.

{
    Move   *move;
    int    res;
    int    best_size = size;
    double coin, threshold;

    /* Look for best size during the last sifting */
    for (move = moves; move != NULL; move = move->next) {
        if (move->size < best_size) {
            best_size = move->size;
        }
    }
    
    /* If best_size equals size, the last sifting did not produce any
    ** improvement. We now toss a coin to decide whether to retain
    ** this change or not.
    */
    if (best_size == size) {
        coin = random_generator();
#ifdef DD_STATS
        tosses++;
#endif
        threshold = exp(-((double)(table->keys - table->isolated - size))/temp);
        if (coin < threshold) {
#ifdef DD_STATS
            acceptances++;
#endif
            return(1);
        }
    }

    /* Either there was improvement, or we have decided not to
    ** accept the uphill move. Go to best position.
    */
    res = table->keys - table->isolated;
    for (move = moves; move != NULL; move = move->next) {
        if (res == best_size) return(1);
        res = cuddSwapInPlace(table,(int)move->x,(int)move->y);
        if (!res) return(0);
    }

    return(1);

} /* end of sift_backward_prob */

static int stopping_criterion ( int  c1, int  c2, int  c3, int  c4, double  temp  )

static

AutomaticStart

Function********************************************************************

Synopsis [Checks termination condition.]

Description [If temperature is STOP_TEMP or there is no improvement then terminates. Returns 1 if the termination criterion is met; 0 otherwise.]

SideEffects [None]

SeeAlso []

Definition at line 309 of file cuddAnneal.c.

{
    if (STOP_TEMP < temp) {
        return(0);
    } else if ((c1 == c2) && (c1 == c3) && (c1 == c4)) {
        return(1);
    } else {
        return(0);
    }

} /* end of stopping_criterion */

Variable Documentation

char rcsid [] DD_UNUSED = "$Id: cuddAnneal.c,v 1.14 2004/08/13 18:04:46 fabio Exp $"

static

Definition at line 99 of file cuddAnneal.c.