1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
|
/* Copyright 2017-2021 PaGMO development team
This file is part of the PaGMO library.
The PaGMO library is free software; you can redistribute it and/or modify
it under the terms of either:
* the GNU Lesser General Public License as published by the Free
Software Foundation; either version 3 of the License, or (at your
option) any later version.
or
* the GNU General Public License as published by the Free Software
Foundation; either version 3 of the License, or (at your option) any
later version.
or both in parallel, as here.
The PaGMO library is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
for more details.
You should have received copies of the GNU General Public License and the
GNU Lesser General Public License along with the PaGMO library. If not,
see https://www.gnu.org/licenses/. */
#define BOOST_TEST_MODULE sga_test
#define BOOST_TEST_DYN_LINK
#include <boost/test/unit_test.hpp>
#include <boost/lexical_cast.hpp>
#include <iostream>
#include <stdexcept>
#include <string>
#include <pagmo/algorithm.hpp>
#include <pagmo/algorithms/sea.hpp>
#include <pagmo/algorithms/sga.hpp>
#include <pagmo/io.hpp>
#include <pagmo/population.hpp>
#include <pagmo/problems/hock_schittkowski_71.hpp>
#include <pagmo/problems/inventory.hpp>
#include <pagmo/problems/minlp_rastrigin.hpp>
#include <pagmo/problems/rosenbrock.hpp>
#include <pagmo/problems/schwefel.hpp>
#include <pagmo/problems/zdt.hpp>
#include <pagmo/s11n.hpp>
#include <pagmo/types.hpp>
using namespace pagmo;
BOOST_AUTO_TEST_CASE(sga_algorithm_construction)
{
// sga uda{1u, 0.5, 10., .02, .5, 1u, 2u, "gaussian", "truncated", "sbx", 0u};
// We check the default constructor, a correct call and the possibility to build a pagmo::algorithm
BOOST_CHECK_NO_THROW(sga{});
BOOST_CHECK_NO_THROW((sga{1u, .95, 10., .02, .5, 5u, "exponential", "gaussian", "tournament", 32u}));
BOOST_CHECK_NO_THROW((sga{1u, .95, 10., .02, .5, 5u, "exponential", "uniform", "tournament", 32u}));
BOOST_CHECK_NO_THROW((sga{1u, .95, 10., .02, 20., 5u, "exponential", "polynomial", "tournament", 32u}));
BOOST_CHECK_NO_THROW((sga{1u, .95, 10., .02, .5, 5u, "exponential", "gaussian", "truncated", 32u}));
BOOST_CHECK_NO_THROW((sga{1u, .95, 10., .02, .5, 5u, "binomial", "gaussian", "tournament", 32u}));
BOOST_CHECK_NO_THROW((sga{1u, .95, 10., .02, .5, 5u, "sbx", "gaussian", "tournament", 32u}));
BOOST_CHECK_NO_THROW(algorithm(sga{}));
// We check incorrect calls to the constructor
BOOST_CHECK_THROW((sga{1u, 12., 10., .02, .5, 5u, "exponential", "gaussian", "tournament", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, -1.1, 10., .02, .5, 5u, "exponential", "gaussian", "tournament", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 0.1, .02, .5, 5u, "exponential", "gaussian", "truncated", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 101., .02, .5, 5u, "exponential", "gaussian", "tournament", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., -0.2, .5, 5u, "exponential", "gaussian", "truncated", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., 1.3, .5, 5u, "exponential", "gaussian", "tournament", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., .02, .5, 5u, "exponential", "unknown_method", "tournament", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., .02, .5, 5u, "exponential", "gaussian", "unknown_method", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., .02, .5, 5u, "unknown_method", "gaussian", "truncated", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., .02, .5, 5u, "exponential", "polynomial", "tournament", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., .02, 101, 5u, "exponential", "polynomial", "truncated", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., .02, -3, 5u, "exponential", "uniform", "tournament", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., .02, 1.1, 5u, "exponential", "uniform", "tournament", 32u}),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., .02, 0.9, 0u, "exponential", "uniform", "tournament", 32u}),
std::invalid_argument);
}
BOOST_AUTO_TEST_CASE(sga_evolve_test)
{
// We start testing the various throws in case the evolve is called on a population
// not suitable for sga
BOOST_CHECK_THROW((sga{}.evolve(population{zdt{}, 5u, 23u})), std::invalid_argument);
BOOST_CHECK_THROW((sga{}.evolve(population{hock_schittkowski_71{}, 5u, 23u})), std::invalid_argument);
BOOST_CHECK_THROW((sga{}.evolve(population{schwefel{20u}, 1u, 23u})), std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., .02, .5, 21u, "exponential", "gaussian", "tournament", 32u}.evolve(
population{schwefel{20u}, 20u, 23u})),
std::invalid_argument);
BOOST_CHECK_THROW((sga{1u, .95, 10., .02, .5, 2u, "sbx", "gaussian", "tournament", 32u}.evolve(
population{schwefel{20u}, 25u, 23u})),
std::invalid_argument);
// And a clean exit for 0 generations
population pop{schwefel{25u}, 10u};
BOOST_CHECK(sga{0u}.evolve(pop).get_x()[0] == pop.get_x()[0]);
// The we test that evolution is deterministic if the
// seed is controlled.
std::vector<sga> udas = {
sga{10u, .90, 1., 0.1, 1., 2u, "exponential", "gaussian", "tournament", 32u},
sga{10u, .90, 1., 0.1, 1., 2u, "sbx", "gaussian", "tournament", 32u},
sga{10u, .90, 1., 0.1, 1., 2u, "binomial", "gaussian", "tournament", 32u},
sga{10u, .90, 1., 0.1, 1., 2u, "single", "gaussian", "tournament", 32u},
sga{10u, .90, 1., 0.1, 1., 2u, "exponential", "polynomial", "tournament", 32u},
sga{10u, .90, 1., 0.1, 1., 2u, "exponential", "uniform", "tournament", 32u},
sga{10u, .90, 1., 0.1, 1., 2u, "exponential", "gaussian", "truncated", 32u},
};
// On a deterministic problem
for (sga &uda : udas) {
problem prob{schwefel{20u}};
population pop1{prob, 20u, 23u};
uda.set_seed(32u);
uda.set_verbosity(1u);
pop1 = uda.evolve(pop1);
auto log1 = uda.get_log();
population pop2{prob, 20u, 23u};
uda.set_seed(32u);
pop2 = uda.evolve(pop2);
auto log2 = uda.get_log();
BOOST_CHECK(log1 == log2);
}
// And on a stochastic one
for (sga &uda : udas) {
problem prob{inventory{25u, 5u, 1432u}};
population pop1{prob, 20u, 23u};
uda.set_seed(32u);
uda.set_verbosity(1u);
pop1 = uda.evolve(pop1);
auto log1 = uda.get_log();
population pop2{prob, 20u, 23u};
uda.set_seed(32u);
pop2 = uda.evolve(pop2);
auto log2 = uda.get_log();
BOOST_CHECK(log1 == log2);
}
// And on a MINLP
for (sga &uda : udas) {
problem prob{minlp_rastrigin{5u, 5u}};
population pop1{prob, 20u, 23u};
uda.set_seed(32u);
uda.set_verbosity(1u);
pop1 = uda.evolve(pop1);
auto log1 = uda.get_log();
population pop2{prob, 20u, 23u};
uda.set_seed(32u);
pop2 = uda.evolve(pop2);
auto log2 = uda.get_log();
BOOST_CHECK(log1 == log2);
}
// We call the extra info and chech they do not throw
for (sga &uda : udas) {
BOOST_CHECK_NO_THROW(uda.get_extra_info());
}
}
BOOST_AUTO_TEST_CASE(sga_serialization_test)
{
// Make one evolution
problem prob{schwefel{20u}};
population pop{prob, 20u, 23u};
algorithm algo{sga{10u}};
algo.set_seed(32u);
algo.set_verbosity(1u);
pop = algo.evolve(pop);
// Store the string representation of p.
std::stringstream ss;
auto before_text = boost::lexical_cast<std::string>(algo);
auto before_log = algo.extract<sga>()->get_log();
// Now serialize, deserialize and compare the result.
{
boost::archive::binary_oarchive oarchive(ss);
oarchive << algo;
}
// Change the content of p before deserializing.
algo = algorithm{};
{
boost::archive::binary_iarchive iarchive(ss);
iarchive >> algo;
}
auto after_text = boost::lexical_cast<std::string>(algo);
auto after_log = algo.extract<sga>()->get_log();
BOOST_CHECK_EQUAL(before_text, after_text);
BOOST_CHECK(before_log == after_log);
// so we implement a close check
for (auto i = 0u; i < before_log.size(); ++i) {
BOOST_CHECK_EQUAL(std::get<0>(before_log[i]), std::get<0>(after_log[i]));
BOOST_CHECK_EQUAL(std::get<1>(before_log[i]), std::get<1>(after_log[i]));
BOOST_CHECK_CLOSE(std::get<2>(before_log[i]), std::get<2>(after_log[i]), 1e-8);
BOOST_CHECK_CLOSE(std::get<3>(before_log[i]), std::get<3>(after_log[i]), 1e-8);
}
}
|
