source: cpp/frams/genetics/fn/fn_oper.cpp @ 779

Last change on this file since 779 was 779, checked in by Maciej Komosinski, 2 years ago

Unified file names of all files involved in genetic conversions and operations so that they start with "f<format>_"

File size: 4.7 KB
Line 
1// This file is a part of Framsticks SDK.  http://www.framsticks.com/
2// Copyright (C) 1999-2018  Maciej Komosinski and Szymon Ulatowski.
3// See LICENSE.txt for details.
4
5#include "fn_oper.h"
6#include "fn_conv.h"
7#include <common/nonstd.h> //randomN, rnd01
8
9
10/**
11\class GenoOper_fn
12
13This genetic representation only stores a vector of real numbers. A fitness function must be provided
14for the gene pool, for example the "Booth function" would be:
15
16var X = String.deserialize(this.geno.rawgenotype); //a vector of real values
17var result = Math.pow(X[0]+2*X[1]-7,2) + Math.pow(2*X[0]+X[1]-5,2);
18return -result; //negation because Framsticks assumes maximization, and the original function needs to be minimized
19*/
20
21
22
23#define FIELDSTRUCT GenoOper_fn
24static ParamEntry GENOfnparam_tab[] =
25{
26        { "Genetics: fn", 1, 4, },
27        { "fn_xover", 0, 0, "Inherited in linear mix crossover", "f 0.5 1.0 0.9", FIELD(xover_proportion), "0.5 => children are averaged parents.\n0.8 => children are only 20% different from parents.\n1.0 => each child is identical to one parent (no crossover).", },
28        { "fn_mut_bound_low", 1, 0, "Lower bounds for mutation", "s 0 0 [-10.0, -10.0]", FIELD(mut_bound_low), "A vector of lower bounds (one real value for each variable)", },
29        { "fn_mut_bound_high", 1, 0, "Higher bounds for mutation", "s 0 0 [10.0, 10.0]", FIELD(mut_bound_high), "A vector of higher bounds (one real value for each variable)", },
30        { "fn_mut_stddev", 1, 0, "Standard deviations for mutation", "s 0 0 [0.1, 0.1]", FIELD(mut_stddev), "A vector of standard deviations (one real value for each variable)", },
31        { 0, },
32};
33#undef FIELDSTRUCT
34
35
36
37GenoOper_fn::GenoOper_fn()
38{
39        par.setParamTab(GENOfnparam_tab);
40        par.select(this);
41        par.setDefault();
42        supported_format = 'n';
43}
44
45int GenoOper_fn::checkValidity(const char* gene, const char *genoname)
46{
47        vector<double> values = GenoConv_fn0::stringToVector(gene);
48        return values.size() > 0 ? GENOPER_OK : 1;
49}
50
51int GenoOper_fn::validate(char *&gene, const char *genoname)
52{
53        vector<double> values = GenoConv_fn0::stringToVector(gene);
54        if (values.size() == 0)
55                values.push_back(0.0);
56        string validated = GenoConv_fn0::vectorToString(values);
57        free(gene);
58        gene = strdup(validated.c_str()); //reallocate
59        return GENOPER_OK;
60}
61
62//Creep-mutate one property
63int GenoOper_fn::mutate(char *&gene, float &chg, int &method)
64{
65        method = 0;
66        vector<double> values = GenoConv_fn0::stringToVector(gene);
67        if (values.size() == 0)
68                return GENOPER_OPFAIL;
69        vector<double> bound_low = GenoConv_fn0::stringToVector(mut_bound_low.c_str());
70        vector<double> bound_high = GenoConv_fn0::stringToVector(mut_bound_high.c_str());
71        vector<double> stddev = GenoConv_fn0::stringToVector(mut_stddev.c_str());
72        if (bound_low.size() != bound_high.size() || bound_high.size() != stddev.size() || stddev.size() != values.size())
73        {
74                logPrintf("GenoOper_fn", "mutate", LOG_ERROR, "The solution vector, bound vectors, and standard deviation vectors must all have the same number of values");
75                return GENOPER_OPFAIL;
76        }
77
78        int which = randomN(values.size());
79        values[which] = GenoOperators::mutateCreep('f', values[which], bound_low[which], bound_high[which], stddev[which], false);
80        string saved = GenoConv_fn0::vectorToString(values);
81        free(gene);
82        gene = strdup(saved.c_str()); //reallocate
83        chg = 1.0f / values.size();
84        return GENOPER_OK;
85}
86
87///Averaging crossover
88int GenoOper_fn::crossOver(char *&g1, char *&g2, float& chg1, float& chg2)
89{
90        //g1 = strdup("[1,0.5,0.5,0.5,0.5,1,1]"); //testing...
91        //g2 = strdup("[4,1,  1,  1,  1,  2,2]"); //testing...
92        //xover_proportion = 0.1; //testing...
93
94        chg1 = xover_proportion;
95        chg2 = 1 - xover_proportion;
96
97        vector<double> v1 = GenoConv_fn0::stringToVector(g1);
98        vector<double> v2 = GenoConv_fn0::stringToVector(g2);
99
100        if (v1.size() != v2.size())
101        {
102                logPrintf("GenoOper_fn", "crossOver", LOG_ERROR, "Tried to cross over solutions with a differing number of variables (%d and %d)", v1.size(), v2.size());
103                return GENOPER_OPFAIL;
104        }
105
106        GenoOperators::linearMix(v1, v2, xover_proportion);
107
108        string saved = GenoConv_fn0::vectorToString(v1);
109        free(g1);
110        g1 = strdup(saved.c_str()); //reallocate
111        saved = GenoConv_fn0::vectorToString(v2);
112        free(g2);
113        g2 = strdup(saved.c_str()); //reallocate
114        return GENOPER_OK;
115}
116
117///Applying some colors and font styles...
118uint32_t GenoOper_fn::style(const char *g, int pos)
119{
120        char ch = g[pos];
121        uint32_t style = GENSTYLE_CS(0, GENSTYLE_INVALID); //default, should be changed below
122        if (strchr("-.e 0123456789", ch) != NULL)
123                style = GENSTYLE_CS(GENCOLOR_NUMBER, GENSTYLE_NONE);
124        else if (strchr("[,]", ch) != NULL)
125                style = GENSTYLE_RGBS(0, 0, 0, GENSTYLE_BOLD);
126        return style;
127}
Note: See TracBrowser for help on using the repository browser.