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<title>EO: exercise1.3.cpp Source File</title>
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<a class="el" href="dir_000003.html">tutorial</a> / <a class="el" href="dir_000019.html">Lesson1</a></div>
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<h1>exercise1.3.cpp</h1><div class="fragment"><pre class="fragment">00001 <span class="preprocessor">#ifdef HAVE_CONFIG_H</span>
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00002 <span class="preprocessor"></span><span class="preprocessor">#include <config.h></span>
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00003 <span class="preprocessor">#endif</span>
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00004 <span class="preprocessor"></span>
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00005 <span class="comment">//-----------------------------------------------------------------------------</span>
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00006 <span class="comment">// FirstBitGA.cpp</span>
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00007 <span class="comment">//-----------------------------------------------------------------------------</span>
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00008 <span class="comment">//*</span>
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00009 <span class="comment">// An instance of a VERY simple Bitstring Genetic Algorithm</span>
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00010 <span class="comment">//</span>
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00011 <span class="comment">//-----------------------------------------------------------------------------</span>
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00012 <span class="comment">// standard includes</span>
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00013 <span class="preprocessor">#include <iostream></span>
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00014 <span class="preprocessor">#include <stdexcept></span>
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00015
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00016 <span class="comment">// the general include for eo</span>
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00017 <span class="preprocessor">#include <eo></span>
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00018
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00019 <span class="comment">//-----------------------------------------------------------------------------</span>
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00020 <span class="comment">// Include the corresponding file</span>
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00021 <span class="preprocessor">#include <ga.h></span> <span class="comment">// bitstring representation & operators</span>
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00022 <span class="comment">// define your individuals</span>
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00023 <span class="keyword">typedef</span> <a class="code" href="classeo_bit.html">eoBit<double></a> <a class="code" href="classeo_real.html">Indi</a>; <span class="comment">// A bitstring with fitness double</span>
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00024
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00025 <span class="keyword">using</span> <span class="keyword">namespace </span>std;
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00026
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00027 <span class="comment">//-----------------------------------------------------------------------------</span>
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00032 <span class="comment"></span><span class="keywordtype">double</span> binary_value(<span class="keyword">const</span> Indi & _indi)
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00033 {
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00034 <span class="keywordtype">double</span> sum = 0;
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00035 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> i = 0; i < _indi.size(); i++)
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00036 sum += _indi[i];
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00037 <span class="keywordflow">return</span> sum;
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00038 }
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00039
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00040 <span class="comment">//-----------------------------------------------------------------------------</span>
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00041
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00042 <span class="keywordtype">void</span> main_function(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)
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00043 {
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00044 <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> SEED = 42; <span class="comment">// seed for random number generator</span>
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00045 <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> VEC_SIZE = 8; <span class="comment">// Number of bits in genotypes</span>
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00046 <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> POP_SIZE = 20; <span class="comment">// Size of population</span>
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00047 <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> MAX_GEN = 500; <span class="comment">// Maximum number of generation before STOP</span>
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00048 <span class="keyword">const</span> <span class="keywordtype">float</span> CROSS_RATE = 0.8; <span class="comment">// Crossover rate</span>
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00049 <span class="keyword">const</span> <span class="keywordtype">double</span> P_MUT_PER_BIT = 0.01; <span class="comment">// probability of bit-flip mutation</span>
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00050 <span class="keyword">const</span> <span class="keywordtype">float</span> MUT_RATE = 1.0; <span class="comment">// mutation rate</span>
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00051
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00053 <span class="comment">// Random seed</span>
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00055 <span class="comment"></span> <span class="comment">//reproducible random seed: if you don't change SEED above,</span>
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00056 <span class="comment">// you'll aways get the same result, NOT a random run</span>
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00057 rng.<a class="code" href="classeo_rng.html#a2">reseed</a>(SEED);
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00058
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00060 <span class="comment">// Fitness function</span>
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00062 <span class="comment"></span> <span class="comment">// Evaluation: from a plain C++ fn to an EvalFunc Object</span>
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00063 <a class="code" href="structeo_eval_func_ptr.html">eoEvalFuncPtr<Indi></a> eval( binary_value );
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00064
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00066 <span class="comment">// Initilisation of population</span>
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00068 <span class="comment"></span>
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00069 <span class="comment">// declare the population</span>
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00070 <a class="code" href="classeo_pop.html">eoPop<Indi></a> pop;
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00071 <span class="comment">// fill it!</span>
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00072 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> igeno=0; igeno<POP_SIZE; igeno++)
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00073 {
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00074 Indi v; <span class="comment">// void individual, to be filled</span>
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00075 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> ivar=0; ivar<VEC_SIZE; ivar++)
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00076 {
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00077 <span class="keywordtype">bool</span> r = rng.<a class="code" href="classeo_rng.html#a6">flip</a>(); <span class="comment">// new value, random in {0,1}</span>
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00078 v.push_back(r); <span class="comment">// append that random value to v</span>
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00079 }
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00080 eval(v); <span class="comment">// evaluate it</span>
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00081 pop.push_back(v); <span class="comment">// and put it in the population</span>
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00082 }
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00083
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00084 <span class="comment">// sort pop before printing it!</span>
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00085 pop.<a class="code" href="classeo_pop.html#a5">sort</a>();
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00086 <span class="comment">// Print (sorted) intial population (raw printout)</span>
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00087 cout << <span class="stringliteral">"Initial Population"</span> << endl;
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00088 cout << pop;
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00089
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00091 <span class="comment">// selection and replacement</span>
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00093 <span class="comment"></span>
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00094 <span class="comment">// solution solution solution: uncomment one of the following,</span>
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00095 <span class="comment">// comment out the eoDetTournament lines</span>
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00096
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00097 <span class="comment">// The well-known roulette</span>
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00098 <span class="comment">// eoProportionalSelect<Indi> select;</span>
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00099
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00100 <span class="comment">// could also use stochastic binary tournament selection</span>
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00101 <span class="comment">//</span>
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00102 <span class="comment">// const double RATE = 0.75;</span>
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00103 <span class="comment">// eoStochTournamentSelect<Indi> select(RATE); // RATE in ]0.5,1]</span>
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00104 <span class="comment">// The robust tournament selection</span>
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00105 <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> T_SIZE = 3; <span class="comment">// size for tournament selection</span>
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00106 <a class="code" href="classeo_det_tournament_select.html">eoDetTournamentSelect<Indi></a> select(T_SIZE); <span class="comment">// T_SIZE in [2,POP_SIZE]</span>
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00107
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00108 <span class="comment">// and of course the random selection</span>
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00109 <span class="comment">// eoRandomSelect<Indi> select;</span>
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00110
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00111 <span class="comment">// The simple GA evolution engine uses generational replacement</span>
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00112 <span class="comment">// so no replacement procedure is needed</span>
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00113
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00115 <span class="comment">// termination condition</span>
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00117 <span class="comment"></span> <span class="comment">// stop after MAX_GEN generations</span>
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00118 <a class="code" href="classeo_gen_continue.html">eoGenContinue<Indi></a> continuator(MAX_GEN);
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00119
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00120
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00122 <span class="comment">// The variation operators</span>
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00124 <span class="comment"></span> <span class="comment">// standard bit-flip mutation for bitstring</span>
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00125 <a class="code" href="classeo_bit_mutation.html">eoBitMutation<Indi></a> mutation(P_MUT_PER_BIT);
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00126 <span class="comment">// 1-point mutation for bitstring</span>
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00127 eo1PtBitXover<Indi> xover;
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00128
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00130 <span class="comment">// the algorithm</span>
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00132 <span class="comment"></span> <span class="comment">// standard Generational GA requires as parameters</span>
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00133 <span class="comment">// selection, evaluation, crossover and mutation, stopping criterion</span>
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00134
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00135
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00136 <a class="code" href="classeo_s_g_a.html">eoSGA<Indi></a> gga(select, xover, CROSS_RATE, mutation, MUT_RATE,
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00137 eval, continuator);
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00138
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00139 <span class="comment">// Apply algo to pop - that's it!</span>
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00140 gga(pop);
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00141
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00142 <span class="comment">// Print (sorted) intial population</span>
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00143 pop.<a class="code" href="classeo_pop.html#a5">sort</a>();
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00144 cout << <span class="stringliteral">"FINAL Population\n"</span> << pop << endl;
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00145 }
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00146
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00147 <span class="comment">// A main that catches the exceptions</span>
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00148
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00149 <span class="keywordtype">int</span> main(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)
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00150 {
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00151
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00152 <span class="keywordflow">try</span>
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00153 {
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00154 main_function(argc, argv);
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00155 }
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00156 <span class="keywordflow">catch</span>(exception& e)
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00157 {
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00158 cout << <span class="stringliteral">"Exception: "</span> << e.what() << <span class="charliteral">'\n'</span>;
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00159 }
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00160
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00161 <span class="keywordflow">return</span> 1;
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00162 }
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</pre></div><hr size="1"><address style="align: right;"><small>Generated on Thu Oct 19 05:06:39 2006 for EO by
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<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.3.9.1 </small></address>
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