/
types.go
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/
types.go
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/*
Copyright (c) 2015, Brian Hummer (brian@redq.me)
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.
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 HOLDER 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.
*/
package neat
import (
"fmt"
)
// A decoded solution
type Phenome interface {
ID() int // The identify of the underlying genome
Traits() []float64 // Trait values which could be used during evaluation
Network // The decoded genome
}
type Phenomes []Phenome
// Population of genomes for a given generation
type Population struct {
Generation int
Species []Species
Genomes Genomes
}
// The result of an evaluation
type Result interface {
ID() int // Returns the ID of the phenome
Fitness() float64 // Returns the fitness of the phenome for the problem
Err() error // Returns the error, if any, occuring while evaluating the phenome.
Stop() bool // Returns true if the stop condition was met
}
type Results []Result
type Species struct {
Age int // Age in terms of generations
Stagnation int // Number of generations since an improvement
Improvement float64
Example Genome
}
type Trait struct {
Name string
Min, Max float64
IsSetting bool
}
type Traits []Trait
func (t Traits) IndexOf(name string) int {
for i, trait := range t {
if trait.Name == name {
return i
}
}
return -1
}
type FitnessType byte
const (
Absolute FitnessType = iota + 1 // 1
Relative // 2
)
func (f FitnessType) String() string {
switch f {
case Absolute:
return "Absolute Fitness"
case Relative:
return "Relative Fitness"
default:
return fmt.Sprintf("Unknown FitnessType: %d", f)
}
}