Axe*_*per 5 constraint-programming minizinc gecode
该MiniZinc约束求解器允许表达基数约束很容易使用内置的sum()功能:
% This predicate is true, iff 2 of the array
% elements are true
predicate exactly_two_sum(array[int] of var bool: x) =
(sum(x) == 2);
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满足基数约束,当且仅当布尔变量数组中的真实元素的数量符合指定。布尔值自动映射到整数值0并1计算总和。
我将自己的基数约束谓词实现为一组计数器切片:
% This predicate is true, iff 2 of the array
% elements are true
predicate exactly_two_serial(array[int] of var bool: x) =
let
{
int: lb = min(index_set(x));
int: ub = max(index_set(x));
int: len = length(x);
}
in
if len < 2 then
false
else if len == 2 then
x[lb] /\ x[ub]
else
(
let
{
% 1-of-3 counter is modelled as a set of slices
% with 3 outputs each
array[lb+1..ub-1] of var bool: t0;
array[lb+1..ub-1] of var bool: t1;
array[lb+1..ub-1] of var bool: t2;
}
in
% first two slices are hard-coded
(t0[lb+1] == not(x[lb] \/ x[lb+1])) /\
(t1[lb+1] == (x[lb] != x[lb+1])) /\
(t2[lb+1] == (x[lb] /\ x[lb+1])) /\
% remaining slices are regular
forall(i in lb+2..ub-1)
(
(t0[i] == t0[i-1] /\ not x[i]) /\
(t1[i] == (t0[i-1] /\ x[i]) \/ (t1[i-1] /\ not x[i])) /\
(t2[i] == (t1[i-1] /\ x[i]) \/ (t2[i-1] /\ not x[i]))
) /\
% output 2 of final slice must be true to fulfil predicate
((t1[ub-1] /\ x[ub]) \/ (t2[ub-1] /\ not x[ub]))
)
endif endif;
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此实现使用并行编码,切片之间的行/变量较少:
% This predicate is true, iff 2 of the array
% elements are true
predicate exactly_two_parallel(array[int] of var bool: x) =
let
{
int: lb = min(index_set(x));
int: ub = max(index_set(x));
int: len = length(x);
}
in
if len < 2 then
false
else if len == 2 then
x[lb] /\ x[ub]
else
(
let
{
% counter is modelled as a set of slices
% with 2 outputs each
% Encoding:
% 0 0 : 0 x true
% 0 1 : 1 x true
% 1 0 : 2 x true
% 1 1 : more than 2 x true
array[lb+1..ub] of var bool: t0;
array[lb+1..ub] of var bool: t1;
}
in
% first two slices are hard-coded
(t1[lb+1] == (x[lb] /\ x[lb+1])) /\
(t0[lb+1] == not t1[lb+1]) /\
% remaining slices are regular
forall(i in lb+2..ub)
(
(t0[i] == (t0[i-1] != x[i]) \/ (t0[i-1] /\ t1[i-1])) /\
(t1[i] == t1[i-1] \/ (t0[i-1] /\ x[i]))
) /\
% output of final slice must be 1 0 to fulfil predicate
(t1[ub] /\ not t0[ub])
)
endif endif;
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题:
使用自有基数谓词有意义吗?还是 MiniZinc 的实现
sum()在求解速度方面无可置疑?
更新:
我使用Gecode作为求解器后端。
线性和通常是在约束求解器中很好地实现的最重要的约束之一,因此对于您的情况,使用简单和的初始版本要好得多。特别是,Gecode 中实现布尔和的传播器进行了大量优化,以尽可能提高效率。
作为一般规则,使用可用的约束通常是一个好主意。特别是,如果一个人正在做的事情很好地映射到全局约束,这通常是一个好主意。一个相关的例子是,如果您想计算整数数组中几个不同数字的出现次数,在这种情况下,全局基数约束非常有用。
为了完整性:当使用惰性子句生成求解器(例如 Chuffed)时,(新颖的)分解有时可能会非常有用。但这是一个更高级的话题。
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