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
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
//! Evaluate [`Individual`]s according to some objective function.
use PhantomData;
use ;
use ;
use crate::;
/// Trait for evaluating individuals, i.e. evaluate their solutions to an optimization problem.
///
/// Implement [`ObjectiveFunction`] instead if the objective function does not require `&mut self`
/// to automatically implement this trait and gain default implementations for sequential
/// and parallel evaluation through [`Sequential`] and [`Parallel`]
/// (the latter requires the problem to be `Sync`).
///
/// # Examples
///
/// A simple implementation of the n-dimensional real-valued sphere function `f(x) = x^2`.
///
/// Note that implementing [`ObjectiveFunction`] would be preferred in this case, because the
/// objective function only depends on `x`.
///
/// ```
/// use mahf::{problems::Evaluate, Individual, Problem, SingleObjective, State};
///
/// pub struct Sphere {
/// pub dim: usize,
/// }
///
/// impl Problem for Sphere {
/// type Encoding = Vec<f64>;
/// type Objective = SingleObjective;
///
/// fn name(&self) -> &str {
/// "Sphere"
/// }
/// }
///
/// pub struct SequentialSphereEvaluator;
///
/// impl Evaluate for SequentialSphereEvaluator {
/// type Problem = Sphere;
///
/// /// Implements `f(x) = \sum (x_i)^2`.
/// fn evaluate(
/// &mut self,
/// _problem: &Self::Problem,
/// _state: &mut State<Self::Problem>,
/// individuals: &mut [Individual<Self::Problem>],
/// ) {
/// for individual in individuals {
/// individual.evaluate_with(|solution| {
/// solution
/// .iter()
/// .map(|x| x.powi(2))
/// .sum::<f64>()
/// .try_into()
/// .unwrap()
/// })
/// }
/// }
/// }
/// ```
///
/// The evaluator is specified when executing the configuration:
///
/// ```
/// # use mahf::{Individual, Problem, SingleObjective, State, problems::Evaluate};
/// use mahf::prelude::*;
///
/// # pub struct Sphere {
/// # pub dim: usize,
/// # }
/// #
/// # impl Problem for Sphere {
/// # type Encoding = ();
/// # type Objective = SingleObjective;
/// #
/// # fn name(&self) -> &str { unimplemented!() }
/// # }
/// #
/// # pub struct SequentialSphereEvaluator;
/// #
/// # impl SequentialSphereEvaluator {
/// # pub fn new() -> Self {
/// # Self
/// # }
/// # }
/// #
/// # impl Evaluate for SequentialSphereEvaluator {
/// # type Problem = Sphere;
/// #
/// # fn evaluate(
/// # &mut self,
/// # _problem: &Self::Problem,
/// # _state: &mut State<Self::Problem>,
/// # individuals: &mut [Individual<Self::Problem>])
/// # {
/// # unimplemented!()
/// # }
/// # }
/// #
/// # fn example(config: Configuration<Sphere>, problem: Sphere) -> ExecResult<()> {
/// // Implicit ...
/// let state = config.optimize(&problem, SequentialSphereEvaluator::new())?;
/// // ... or explicit insertion into the state.
/// let state = config.optimize_with(&problem, |state| {
/// state.insert_evaluator(SequentialSphereEvaluator::new());
/// Ok(())
/// })?;
/// # Ok(())
/// # }
/// ```
/// Trait for a non-mutable objective function of an optimization problem.
///
/// [`Sequential`] and [`Parallel`] provide a default implementation of sequential and parallel
/// evaluation using the [`objective`], respectively.
/// The latter requires the [`Problem`] to be `Sync`.
///
/// If your objective function takes `&mut self`, implement [`Evaluate`] directly.
///
/// [`objective`]: ObjectiveFunction::objective
///
/// # Examples
///
/// A simple implementation of the n-dimensional real-valued sphere function `f(x) = x^2`.
///
/// ```
/// use mahf::{problems::ObjectiveFunction, Individual, Problem, SingleObjective, State};
///
/// pub struct Sphere {
/// pub dim: usize,
/// }
///
/// impl Problem for Sphere {
/// type Encoding = Vec<f64>;
/// type Objective = SingleObjective;
///
/// fn name(&self) -> &str {
/// "Sphere"
/// }
/// }
///
/// impl ObjectiveFunction for Sphere {
/// /// Implements `f(x) = \sum (x_i)^2`.
/// fn objective(&self, solution: &Self::Encoding) -> Self::Objective {
/// debug_assert_eq!(self.dim, solution.len());
/// solution
/// .iter()
/// .map(|x| x.powi(2))
/// .sum::<f64>()
/// .try_into()
/// .unwrap()
/// }
/// }
/// ```
///
/// [`Sequential`] and [`Parallel`] can be used as evaluators:
///
/// ```
/// # use mahf::{Individual, Problem, SingleObjective, State, problems::ObjectiveFunction};
/// use mahf::prelude::*;
/// #
/// # pub struct Sphere {
/// # pub dim: usize,
/// # }
/// #
/// # impl Problem for Sphere {
/// # type Encoding = Vec<f64>;
/// # type Objective = SingleObjective;
/// #
/// # fn name(&self) -> &str {
/// # "Sphere"
/// # }
/// # }
/// #
/// # impl ObjectiveFunction for Sphere {
/// # fn objective(&self, solution: &Self::Encoding) -> Self::Objective {
/// # unimplemented!()
/// # }
/// # }
///
/// # fn example(config: Configuration<Sphere>, problem: Sphere) -> ExecResult<()> {
/// // Implicit insertion into the state ...
/// let state = config.optimize(&problem, evaluate::Sequential::new())?;
/// // ... or explicit.
/// let state = config.optimize_with(&problem, |state| {
/// state.insert_evaluator(evaluate::Sequential::new());
/// Ok(())
/// })?;
/// # Ok(())
/// # }
/// ```
/// A sequential evaluator for an optimization problem, i.e. [`ObjectiveFunction`].
///
/// The evaluator simply evaluates all individuals sequentially in order.
>);
/// A parallel evaluator for an optimization problem.
///
/// Requires `P` to be `Sync`.
///
/// The evaluator evaluates the individuals in parallel using the [`rayon`] library.
>);