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/* -*- mode: C++; c-basic-offset: 2; indent-tabs-mode: nil -*- */
/*
* Main authors:
* Christian Schulte <schulte@gecode.org>
*
* Copyright:
* Christian Schulte, 2008
*
* This file is part of Gecode, the generic constraint
* development environment:
* http://www.gecode.org
*
* Permission is hereby granted, free of charge, to any person obtaining
* a copy of this software and associated documentation files (the
* "Software"), to deal in the Software without restriction, including
* without limitation the rights to use, copy, modify, merge, publish,
* distribute, sublicense, and/or sell copies of the Software, and to
* permit persons to whom the Software is furnished to do so, subject to
* the following conditions:
*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
* LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
* OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
* WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*
*/
#include <gecode/minimodel.hh>
#include <gecode/search.hh>
#include "test/test.hh"
namespace Test {
/// Tests for search engines
namespace Search {
using namespace Gecode;
using namespace Gecode::Int;
/// Values for selecting branchers
enum HowToBranch {
HTB_NONE, ///< Do not branch
HTB_UNARY, ///< Branch with single alternative
HTB_BINARY, ///< Branch with two alternatives
HTB_NARY ///< Branch with many alternatives
};
/// Values for selecting how to constrain
enum HowToConstrain {
HTC_NONE, ///< Do not constrain
HTC_LEX_LE, ///< Constrain for lexically smallest
HTC_LEX_GR, ///< Constrain for lexically biggest
HTC_BAL_LE, ///< Constrain for smallest balance
HTC_BAL_GR ///< Constrain for largest balance
};
/// Values for selecting models
enum WhichModel {
WM_FAIL_IMMEDIATE, ///< Model that fails immediately
WM_FAIL_SEARCH, ///< Model without solutions
WM_SOLUTIONS ///< Model with solutions
};
/// Space with information
class TestSpace : public Space {
public:
/// Constructor for space creation
TestSpace(void) {}
/// Constructor for cloning \a s
TestSpace(TestSpace& s) : Space(s) {}
/// Return number of solutions
virtual int solutions(void) const = 0;
/// Verify that this is best solution
virtual bool best(void) const = 0;
/// Master configuration function that does not restart
virtual bool master(const MetaInfo& mi) {
if (mi.type() == MetaInfo::RESTART) {
if (mi.last() != NULL)
constrain(*mi.last());
return false;
} else {
return false;
}
}
};
/// Space that immediately fails
class FailImmediate : public TestSpace {
public:
/// Variables used
IntVarArray x;
/// Constructor for space creation
FailImmediate(HowToBranch, HowToBranch, HowToBranch,
HowToConstrain=HTC_NONE)
: x(*this,1,0,0) {
rel(*this, x[0], IRT_EQ, 1);
}
/// Constructor for cloning \a s
FailImmediate(FailImmediate& s) : TestSpace(s) {
x.update(*this, s.x);
}
/// Copy during cloning
virtual Space* copy(void) {
return new FailImmediate(*this);
}
/// Add constraint for next better solution
virtual void constrain(const Space&) {
}
/// Return number of solutions
virtual int solutions(void) const {
return 0;
}
/// Verify that this is best solution
virtual bool best(void) const {
return false;
}
/// Return name
static std::string name(void) {
return "Fail";
}
};
/// Space that is immediately solved
class SolveImmediate : public TestSpace {
public:
/// Variables used
IntVarArray x;
/// Constructor for space creation
SolveImmediate(HowToBranch, HowToBranch, HowToBranch,
HowToConstrain=HTC_NONE)
: x(*this,1,0,0) {}
/// Constructor for cloning \a s
SolveImmediate(SolveImmediate& s) : TestSpace(s) {
x.update(*this, s.x);
}
/// Copy during cloning
virtual Space* copy(void) {
return new SolveImmediate(*this);
}
/// Add constraint for next better solution
virtual void constrain(const Space&) {
fail();
}
/// Return number of solutions
virtual int solutions(void) const {
return 1;
}
/// Verify that this is best solution
virtual bool best(void) const {
return true;
}
/// Return name
static std::string name(void) {
return "Solve";
}
};
/// Space that requires propagation and has solutions
class HasSolutions : public TestSpace {
public:
/// Variables used
IntVarArray x;
/// How to branch
HowToBranch htb1, htb2, htb3;
/// How to constrain
HowToConstrain htc;
/// Branch on \a x according to \a htb
void branch(const IntVarArgs& x, HowToBranch htb) {
switch (htb) {
case HTB_NONE:
break;
case HTB_UNARY:
assign(*this, x, INT_ASSIGN_MIN());
break;
case HTB_BINARY:
Gecode::branch(*this, x, INT_VAR_NONE(), INT_VAL_MIN());
break;
case HTB_NARY:
Gecode::branch(*this, x, INT_VAR_NONE(), INT_VALUES_MIN());
break;
}
}
/// Constructor for space creation
HasSolutions(HowToBranch _htb1, HowToBranch _htb2, HowToBranch _htb3,
HowToConstrain _htc=HTC_NONE)
: x(*this,6,0,5), htb1(_htb1), htb2(_htb2), htb3(_htb3), htc(_htc) {
distinct(*this, x);
rel(*this, x[2], IRT_LQ, 3); rel(*this, x[3], IRT_LQ, 3);
rel(*this, x[4], IRT_LQ, 1); rel(*this, x[5], IRT_LQ, 1);
IntVarArgs x1(2); x1[0]=x[0]; x1[1]=x[1]; branch(x1, htb1);
IntVarArgs x2(2); x2[0]=x[2]; x2[1]=x[3]; branch(x2, htb2);
IntVarArgs x3(2); x3[0]=x[4]; x3[1]=x[5]; branch(x3, htb3);
}
/// Constructor for cloning \a s
HasSolutions(HasSolutions& s)
: TestSpace(s),
htb1(s.htb1), htb2(s.htb2), htb3(s.htb3), htc(s.htc) {
x.update(*this, s.x);
}
/// Copy during cloning
virtual Space* copy(void) {
return new HasSolutions(*this);
}
/// Add constraint for next better solution
virtual void constrain(const Space& _s) {
const HasSolutions& s = static_cast<const HasSolutions&>(_s);
switch (htc) {
case HTC_NONE:
break;
case HTC_LEX_LE:
case HTC_LEX_GR:
{
IntVarArgs y(6);
for (int i=0; i<6; i++)
y[i] = IntVar(*this, s.x[i].val(), s.x[i].val());
lex(*this, x, (htc == HTC_LEX_LE) ? IRT_LE : IRT_GR, y);
break;
}
case HTC_BAL_LE:
case HTC_BAL_GR:
{
IntVarArgs y(6);
for (int i=0; i<6; i++)
y[i] = IntVar(*this, s.x[i].val(), s.x[i].val());
IntVar xs(*this, -18, 18);
IntVar ys(*this, -18, 18);
rel(*this, x[0]+x[1]+x[2]-x[3]-x[4]-x[5] == xs);
rel(*this, y[0]+y[1]+y[2]-y[3]-y[4]-y[5] == ys);
rel(*this,
expr(*this,abs(xs)),
(htc == HTC_BAL_LE) ? IRT_LE : IRT_GR,
expr(*this,abs(ys)));
break;
}
}
}
/// Return number of solutions
virtual int solutions(void) const {
if (htb1 == HTB_NONE) {
assert((htb2 == HTB_NONE) && (htb3 == HTB_NONE));
return 1;
}
if ((htb1 == HTB_UNARY) || (htb2 == HTB_UNARY))
return 0;
if (htb3 == HTB_UNARY)
return 4;
return 8;
}
/// Verify that this is best solution
virtual bool best(void) const {
if ((htb1 == HTB_NONE) || (htb2 == HTB_NONE) || (htb3 == HTB_NONE) ||
(htb1 == HTB_UNARY) || (htb2 == HTB_UNARY) || (htb3 == HTB_UNARY))
return true;
switch (htc) {
case HTC_NONE:
return true;
case HTC_LEX_LE:
return ((x[0].val()==4) && (x[1].val()==5) &&
(x[2].val()==2) && (x[3].val()==3) &&
(x[4].val()==0) && (x[5].val()==1));
case HTC_LEX_GR:
return ((x[0].val()==5) && (x[1].val()==4) &&
(x[2].val()==3) && (x[3].val()==2) &&
(x[4].val()==1) && (x[5].val()==0));
case HTC_BAL_LE:
return ((x[0].val()==4) && (x[1].val()==5) &&
(x[2].val()==2) && (x[3].val()==3) &&
(x[4].val()==0) && (x[5].val()==1));
case HTC_BAL_GR:
return ((x[0].val()==4) && (x[1].val()==5) &&
(x[2].val()==3) && (x[3].val()==2) &&
(x[4].val()==0) && (x[5].val()==1));
default: GECODE_NEVER;
}
return false;
}
/// Return name
static std::string name(void) {
return "Sol";
}
/// Rule out that solution is found more than once during restarts
virtual bool master(const MetaInfo& mi) {
switch (mi.type()) {
case MetaInfo::RESTART:
if (mi.last() != NULL) {
const HasSolutions* s
= static_cast<const HasSolutions*>(mi.last());
BoolVarArgs b;
for (int i=0; i<x.size(); i++)
b << expr(*this, x[i] == s->x[i]);
rel(*this, BOT_AND, b, 0);
}
break;
case MetaInfo::PORTFOLIO:
// Do not kill the brancher!
break;
default:
break;
}
return false;
}
};
/// %Base class for search tests
class Test : public Base {
public:
/// How to branch
HowToBranch htb1, htb2, htb3;
/// How to constrain
HowToConstrain htc;
/// Map unsigned integer to string
static std::string str(unsigned int i) {
std::stringstream s;
s << i;
return s.str();
}
/// Map branching to string
static std::string str(HowToBranch htb) {
switch (htb) {
case HTB_NONE: return "None";
case HTB_UNARY: return "Unary";
case HTB_BINARY: return "Binary";
case HTB_NARY: return "Nary";
default: GECODE_NEVER;
}
GECODE_NEVER;
return "";
}
/// Map constrain to string
static std::string str(HowToConstrain htc) {
switch (htc) {
case HTC_NONE: return "None";
case HTC_LEX_LE: return "LexLe";
case HTC_LEX_GR: return "LexGr";
case HTC_BAL_LE: return "BalLe";
case HTC_BAL_GR: return "BalGr";
default: GECODE_NEVER;
}
GECODE_NEVER;
return "";
}
/// Initialize test
Test(const std::string& s,
HowToBranch _htb1, HowToBranch _htb2, HowToBranch _htb3,
HowToConstrain _htc=HTC_NONE)
: Base("Search::"+s),
htb1(_htb1), htb2(_htb2), htb3(_htb3), htc(_htc) {}
};
/// %Test for depth-first search
template<class Model>
class DFS : public Test {
private:
/// Minimal recomputation distance
unsigned int c_d;
/// Adaptive recomputation distance
unsigned int a_d;
/// Number of threads
unsigned int t;
public:
/// Initialize test
DFS(HowToBranch htb1, HowToBranch htb2, HowToBranch htb3,
unsigned int c_d0, unsigned int a_d0, unsigned int t0)
: Test("DFS::"+Model::name()+"::"+
str(htb1)+"::"+str(htb2)+"::"+str(htb3)+"::"+
str(c_d0)+"::"+str(a_d0)+"::"+str(t0),
htb1,htb2,htb3), c_d(c_d0), a_d(a_d0), t(t0) {}
/// Run test
virtual bool run(void) {
Model* m = new Model(htb1,htb2,htb3);
Gecode::Search::FailStop f(2);
Gecode::Search::Options o;
o.c_d = c_d;
o.a_d = a_d;
o.threads = t;
o.stop = &f;
Gecode::DFS<Model> dfs(m,o);
int n = m->solutions();
delete m;
while (true) {
Model* s = dfs.next();
if (s != NULL) {
n--; delete s;
}
if ((s == NULL) && !dfs.stopped())
break;
f.limit(f.limit()+2);
}
return n == 0;
}
};
/// %Test for limited discrepancy search
template<class Model>
class LDS : public Test {
private:
/// Number of threads
unsigned int t;
public:
/// Initialize test
LDS(HowToBranch htb1, HowToBranch htb2, HowToBranch htb3,
unsigned int t0)
: Test("LDS::"+Model::name()+"::"+
str(htb1)+"::"+str(htb2)+"::"+str(htb3)+"::"+str(t0),
htb1,htb2,htb3), t(t0) {}
/// Run test
virtual bool run(void) {
Model* m = new Model(htb1,htb2,htb3);
Gecode::Search::FailStop f(2);
Gecode::Search::Options o;
o.threads = t;
o.d_l = 50;
o.stop = &f;
Gecode::LDS<Model> lds(m,o);
int n = m->solutions();
delete m;
while (true) {
Model* s = lds.next();
if (s != NULL) {
n--; delete s;
}
if ((s == NULL) && !lds.stopped())
break;
f.limit(f.limit()+2);
}
return n == 0;
}
};
/// %Test for best solution search
template<class Model>
class BAB : public Test {
private:
/// Minimal recomputation distance
unsigned int c_d;
/// Adaptive recomputation distance
unsigned int a_d;
/// Number of threads
unsigned int t;
public:
/// Initialize test
BAB(HowToConstrain htc,
HowToBranch htb1, HowToBranch htb2, HowToBranch htb3,
unsigned int c_d0, unsigned int a_d0, unsigned int t0)
: Test("BAB::"+Model::name()+"::"+str(htc)+"::"+
str(htb1)+"::"+str(htb2)+"::"+str(htb3)+"::"+
str(c_d0)+"::"+str(a_d0)+"::"+str(t0),
htb1,htb2,htb3,htc), c_d(c_d0), a_d(a_d0), t(t0) {}
/// Run test
virtual bool run(void) {
Model* m = new Model(htb1,htb2,htb3,htc);
Gecode::Search::FailStop f(2);
Gecode::Search::Options o;
o.c_d = c_d;
o.a_d = a_d;
o.threads = t;
o.stop = &f;
Gecode::BAB<Model> bab(m,o);
delete m;
Model* b = NULL;
while (true) {
Model* s = bab.next();
if (s != NULL) {
delete b; b=s;
}
if ((s == NULL) && !bab.stopped())
break;
f.limit(f.limit()+2);
}
bool ok = (b == NULL) || b->best();
delete b;
return ok;
}
};
/// %Test for restart-based search
template<class Model, template<class> class Engine>
class RBS : public Test {
private:
/// Number of threads
unsigned int t;
public:
/// Initialize test
RBS(const std::string& e, unsigned int t0)
: Test("RBS::"+e+"::"+Model::name()+"::"+str(t0),
HTB_BINARY,HTB_BINARY,HTB_BINARY), t(t0) {}
/// Run test
virtual bool run(void) {
Model* m = new Model(htb1,htb2,htb3);
Gecode::Search::FailStop f(2);
Gecode::Search::Options o;
o.threads = t;
o.stop = &f;
o.d_l = 100;
o.cutoff = Gecode::Search::Cutoff::geometric(1,2);
Gecode::RBS<Model,Engine> rbs(m,o);
int n = m->solutions();
delete m;
while (true) {
Model* s = rbs.next();
if (s != NULL) {
n--; delete s;
}
if ((s == NULL) && !rbs.stopped())
break;
f.limit(f.limit()+2);
}
return n == 0;
}
};
/// %Test for portfolio-based search
template<class Model, template<class> class Engine>
class PBS : public Test {
private:
/// Whether best solution search is used
bool best;
/// Number of assets
unsigned int a;
/// Number of threads
unsigned int t;
public:
/// Initialize test
PBS(const std::string& e, bool b, unsigned int a0, unsigned int t0)
: Test("PBS::"+e+"::"+Model::name()+"::"+str(a0)+"::"+str(t0),
HTB_BINARY,HTB_BINARY,HTB_BINARY), best(b), a(a0), t(t0) {}
/// Run test
virtual bool run(void) {
Model* m = new Model(htb1,htb2,htb3);
Gecode::Search::FailStop f(2);
Gecode::Search::Options o;
o.assets = a;
o.threads = t;
o.d_l = 100;
o.stop = &f;
Gecode::PBS<Model,Engine> pbs(m,o);
if (best) {
Model* b = NULL;
while (true) {
Model* s = pbs.next();
if (s != NULL) {
delete b; b=s;
}
if ((s == NULL) && !pbs.stopped())
break;
f.limit(f.limit()+2);
}
bool ok = (b == NULL) || b->best();
delete b;
return ok;
} else {
int n = ((t > 1) ? std::min(a,t) : a) * m->solutions();
delete m;
while (true) {
Model* s = pbs.next();
if (s != NULL) {
n--; delete s;
}
if ((s == NULL) && !pbs.stopped())
break;
f.limit(f.limit()+2);
}
return n >= 0;
}
}
};
/// %Test for portfolio-based search using SEBs
template<class Model>
class SEBPBS : public Test {
private:
/// Whether best solution search is used
bool best;
/// Number of master threads
unsigned int mt;
/// Number of slave threads
unsigned int st;
public:
/// Initialize test
SEBPBS(const std::string& e, bool b, unsigned int mt0, unsigned int st0)
: Test("PBS::SEB::"+e+"::"+Model::name()+"::"+str(mt0)+"::"+str(st0),
HTB_BINARY,HTB_BINARY,HTB_BINARY), best(b), mt(mt0), st(st0) {}
/// Run test
virtual bool run(void) {
using namespace Gecode;
Model* m = new Model(htb1,htb2,htb3);
Gecode::Search::FailStop f(2);
Gecode::Search::Options mo;
mo.threads = mt;
mo.d_l = 100;
mo.stop = &f;
Gecode::Search::Options so;
so.threads = st;
so.d_l = 100;
so.cutoff = Gecode::Search::Cutoff::constant(1000000);
if (best) {
SEBs sebs(3);
sebs[0] = bab<Model>(so);
sebs[1] = bab<Model>(so);
sebs[2] = rbs<Model,Gecode::BAB>(so);
Gecode::PBS<Model,Gecode::BAB> pbs(m, sebs, mo);
delete m;
Model* b = NULL;
while (true) {
Model* s = pbs.next();
if (s != NULL) {
delete b; b=s;
}
if ((s == NULL) && !pbs.stopped())
break;
f.limit(f.limit()+2);
}
bool ok = (b == NULL) || b->best();
delete b;
return ok;
} else {
SEBs sebs(3);
sebs[0] = dfs<Model>(so);
sebs[1] = lds<Model>(so);
sebs[2] = rbs<Model,Gecode::DFS>(so);
Gecode::PBS<Model,Gecode::DFS> pbs(m, sebs, mo);
int n = 3 * m->solutions();
delete m;
while (true) {
Model* s = pbs.next();
if (s != NULL) {
n--; delete s;
}
if ((s == NULL) && !pbs.stopped())
break;
f.limit(f.limit()+2);
}
return n >= 0;
}
}
};
/// Iterator for branching types
class BranchTypes {
private:
/// Array of branching types
static const HowToBranch htbs[3];
/// Current position in branching type array
int i;
public:
/// Initialize iterator
BranchTypes(void) : i(0) {}
/// Test whether iterator is done
bool operator()(void) const {
return i<3;
}
/// Increment to next branching type
void operator++(void) {
i++;
}
/// Return current branching type
HowToBranch htb(void) const {
return htbs[i];
}
};
const HowToBranch BranchTypes::htbs[3] = {HTB_UNARY, HTB_BINARY, HTB_NARY};
/// Iterator for constrain types
class ConstrainTypes {
private:
/// Array of constrain types
static const HowToConstrain htcs[4];
/// Current position in constrain type array
int i;
public:
/// Initialize iterator
ConstrainTypes(void) : i(0) {}
/// Test whether iterator is done
bool operator()(void) const {
return i<4;
}
/// Increment to next constrain type
void operator++(void) {
i++;
}
/// Return current constrain type
HowToConstrain htc(void) const {
return htcs[i];
}
};
const HowToConstrain ConstrainTypes::htcs[4] =
{HTC_LEX_LE, HTC_LEX_GR, HTC_BAL_LE, HTC_BAL_GR};
/// Help class to create and register tests
class Create {
public:
/// Perform creation and registration
Create(void) {
// Depth-first search
for (unsigned int t = 1; t<=4; t++)
for (unsigned int c_d = 1; c_d<10; c_d++)
for (unsigned int a_d = 1; a_d<=c_d; a_d++) {
for (BranchTypes htb1; htb1(); ++htb1)
for (BranchTypes htb2; htb2(); ++htb2)
for (BranchTypes htb3; htb3(); ++htb3)
(void) new DFS<HasSolutions>
(htb1.htb(),htb2.htb(),htb3.htb(),c_d, a_d, t);
new DFS<FailImmediate>(HTB_NONE, HTB_NONE, HTB_NONE,
c_d, a_d, t);
new DFS<SolveImmediate>(HTB_NONE, HTB_NONE, HTB_NONE,
c_d, a_d, t);
new DFS<HasSolutions>(HTB_NONE, HTB_NONE, HTB_NONE,
c_d, a_d, t);
}
// Limited discrepancy search
for (unsigned int t = 1; t<=4; t++) {
for (BranchTypes htb1; htb1(); ++htb1)
for (BranchTypes htb2; htb2(); ++htb2)
for (BranchTypes htb3; htb3(); ++htb3)
(void) new LDS<HasSolutions>(htb1.htb(),htb2.htb(),htb3.htb()
,t);
new LDS<FailImmediate>(HTB_NONE, HTB_NONE, HTB_NONE, t);
new LDS<HasSolutions>(HTB_NONE, HTB_NONE, HTB_NONE, t);
}
// Best solution search
for (unsigned int t = 1; t<=4; t++)
for (unsigned int c_d = 1; c_d<10; c_d++)
for (unsigned int a_d = 1; a_d<=c_d; a_d++) {
for (ConstrainTypes htc; htc(); ++htc)
for (BranchTypes htb1; htb1(); ++htb1)
for (BranchTypes htb2; htb2(); ++htb2)
for (BranchTypes htb3; htb3(); ++htb3) {
(void) new BAB<HasSolutions>
(htc.htc(),htb1.htb(),htb2.htb(),htb3.htb(),
c_d,a_d,t);
}
(void) new BAB<FailImmediate>
(HTC_NONE,HTB_NONE,HTB_NONE,HTB_NONE,c_d,a_d,t);
(void) new BAB<SolveImmediate>
(HTC_NONE,HTB_NONE,HTB_NONE,HTB_NONE,c_d,a_d,t);
(void) new BAB<HasSolutions>
(HTC_NONE,HTB_NONE,HTB_NONE,HTB_NONE,c_d,a_d,t);
}
// Restart-based search
for (unsigned int t=1; t<=4; t++) {
(void) new RBS<HasSolutions,Gecode::DFS>("DFS",t);
(void) new RBS<HasSolutions,Gecode::LDS>("LDS",t);
(void) new RBS<HasSolutions,Gecode::BAB>("BAB",t);
(void) new RBS<FailImmediate,Gecode::DFS>("DFS",t);
(void) new RBS<FailImmediate,Gecode::LDS>("LDS",t);
(void) new RBS<FailImmediate,Gecode::BAB>("BAB",t);
(void) new RBS<SolveImmediate,Gecode::DFS>("DFS",t);
(void) new RBS<SolveImmediate,Gecode::LDS>("LDS",t);
(void) new RBS<SolveImmediate,Gecode::BAB>("BAB",t);
}
// Portfolio-based search
for (unsigned int a=1; a<=4; a++)
for (unsigned int t=1; t<=2*a; t++) {
(void) new PBS<HasSolutions,Gecode::DFS>("DFS",false,a,t);
(void) new PBS<HasSolutions,Gecode::LDS>("LDS",false,a,t);
(void) new PBS<HasSolutions,Gecode::BAB>("BAB",true,a,t);
(void) new PBS<FailImmediate,Gecode::DFS>("DFS",false,a,t);
(void) new PBS<FailImmediate,Gecode::LDS>("LDS",false,a,t);
(void) new PBS<FailImmediate,Gecode::BAB>("BAB",true,a,t);
(void) new PBS<SolveImmediate,Gecode::DFS>("DFS",false,a,t);
(void) new PBS<SolveImmediate,Gecode::LDS>("LDS",false,a,t);
(void) new PBS<SolveImmediate,Gecode::BAB>("BAB",true,a,t);
}
// Portfolio-based search using SEBs
for (unsigned int mt=1; mt<=3; mt += 2)
for (unsigned int st=1; st<=8; st++) {
(void) new SEBPBS<HasSolutions>("BAB",true,mt,st);
(void) new SEBPBS<FailImmediate>("BAB",true,mt,st);
(void) new SEBPBS<SolveImmediate>("BAB",true,mt,st);
(void) new SEBPBS<HasSolutions>("DFS+LDS",false,mt,st);
(void) new SEBPBS<FailImmediate>("DFS+LDS",false,mt,st);
(void) new SEBPBS<SolveImmediate>("DFS+LDS",false,mt,st);
}
}
};
Create c;
}
}
// STATISTICS: test-search
|