private bool CheckIfSameCreatureExists(List <PopulationMember> members, PopulationMember member)
{
bool flag = false;
for (int i = 0; i < members.Count; i++)
{
for (int j = 0; j < members[i].memberSet.Count; j++)
{
if (members[i].memberSet[j] == member.memberSet[j])
{
flag = true;
}
else
{
flag = false;
break;
}
}
if (flag)
{
return(flag);
}
}
return(flag);
}
private void GenerateInitialPopulation()
{
_population = new List <PopulationMember>();
//Best 4 I've found so far
//2754
_population.Add(new PopulationMember(new[] { 82, -36, -33, -23, 11, -36, -71, 10, -42, -63, -81, 55, -39, -10, 60, 99 }));
//2753
_population.Add(new PopulationMember(new[] { 74, -3, -64, -53, 11, -91, -76, -93, -100, -84, -100, 35, -82, -26, 50, 100 }));
//2751
_population.Add(new PopulationMember(new[] { 67, -74, -29, -56, -12, -57, -96, -10, -52, -89, -100, 29, -67, -3, 39, 100 }));
//2749
_population.Add(new PopulationMember(new[] { 50, -36, -45, -66, -79, -52, -92, -18, -49, -100, -100, 19, -42, -1, 19, 75 }));
foreach (var p in _population)
{
EvaluateFitness(p);
}
for (var i = _population.Count; i < PopulationSize; i++)
{
var populationMember = new PopulationMember(CreateRandomGene());
EvaluateFitness(populationMember);
_population.Add(populationMember);
}
}
private void ApplyMutationWithSpecifiedProbability(double probability, PopulationMember childs)
{
for (int i = 0; i < childs.memberSet.Count; i++)
{
if (GetRandomWithProbabilitySelected(probability, 1 - probability) == 0)
{
childs.memberSet[i] = GetRandomNumber();
}
}
}
private double SubstituteInEquation(PopulationMember member)
{
u = member.memberSet[0];
w = member.memberSet[1];
x = member.memberSet[2];
y = member.memberSet[3];
z = member.memberSet[4];
return(Math.Abs(Math.Pow(u, powU) * Math.Pow(w, powW) * Math.Pow(x, powX) * Math.Pow(y, powY) * Math.Pow(z, powZ) +
Math.Pow(u, powU1) * Math.Pow(w, powW1) * Math.Pow(x, powX1) * Math.Pow(y, powY1) * Math.Pow(z, powZ1) +
Math.Pow(u, powU2) * Math.Pow(w, powW2) * Math.Pow(x, powX2) * Math.Pow(y, powY2) * Math.Pow(z, powZ2) +
Math.Pow(u, powU3) * Math.Pow(w, powW3) * Math.Pow(x, powX3) * Math.Pow(y, powY3) * Math.Pow(z, powZ3) +
Math.Pow(u, powU4) * Math.Pow(w, powW4) * Math.Pow(x, powX4) * Math.Pow(y, powY4) * Math.Pow(z, powZ4) - Result));
}
private void GenerateInitialPopulation()
{
_population = new List <PopulationMember>();
//2721
_population.Add(new PopulationMember(new[] { 100, -73, -24, -47, -100, -14, -100, -39, -46, 52, -18, 71, 93, 53, -93, 96, -100, -28, 94, -49, 21, -100, -100, 9, -49, -58, 9, 25, 55, -27, 43, 47, 11, 24, -5, -67, -90, 23, -49, 100, -14, -25, 2, -84, -46, 41, -60, 84, -46, -43, -20, -37, 27, -29, 76, -82, -22, -32, -59, 25, 12, -83, -20, 47, 99, 47, 100, 31, -40, -100, -64, 100, -10, 34, 44, 100, 2, -12, 67, -95, 6, 55, 71, -38, 82, 47, -9, -79, -10, 83, -20, 90, -19, 38, -59, -4, 62, 75, -39, 11, 60, -86, -30, -57, -63, -9, 72, -34, -64, -85, -2, -27, 89, 5, -14, 91, 97, 28, -40, 3, 66, -51, -59, 87, 89, -60, -64, 100, 27, 100, 19, -42, 36, 92, 46, 14, -54, -53, 43, -72, -81, 10, -82, 9, 2, -74, -13, 44, -45, 93, -11, 12, 27, 34, -77, 73, -40, 15, 55, 37, -100, -58, -29, 40, -30, 63, -73, -45, 96, -30, 90, 79, 81, -13, 38, 57, -80, 87, 19, -73, -26, -55, 24, -50, 0, 21, -41, 11, 0, -49, -83, -14, -11, -10, -36, 65, -63, 100, -86, -93, -77, 66, -54, 14, -100, 39, -34, -100, -50, -50, -36, -47, -54, 100, -61, -28, 1, 94, -72, 3, -100, -84, -55, 100, 90, -54, -14, -68, -59, 100, 96, 100, -82, -100, -54, -81, 11, -85, 49, -94, -62, -79, -10, -88, 25, -60, -23, 45, -85, -100, -2, 47, -39, -38, -60, 100, 29, -26, 61, -80, 91, -93, 23, 58, 45, 74, 74, -75, -82, 25, 14, 10, -92, 50, 32, -25, 0, -63, 67, 25, 87, -63, 58, -100, -87, 80, 12, -41, 100, -71, 41, -76, -16, -55, -21, -70, -56, -15, 79, 19, -94, -4, -30, 49, -100, -46, 1, -10, -29, -14, 1, 77, 23, -1, -6, -74, -52, -44, -29, 99, -32, -69, 27, -71, 79, -75, -65, -71, -68, -14, 48, 87, -82, -23, -92, -84, 9, 88, 37, -48, 25, -45, -100, -45, 26, 63, -100, 33, -73, -69, 81, 1, 5, -53, 88, 5, -69, -24, -24, 5, 9, 40, -100, -60, -35, 17, 100, -86, -100, -75, -52, -100, -19, -46, -71, 100, -12, -64, -92, -22, -55, -38, -24, 96, 60, -81, -96, 37, -54, -84, 67, -85, -42, -58, -25, -26, -9, 17, 19, -78, -100, 61, -45, -80, -57, -41, 100, -100, 27, 28, -11, -70, -71, 13, -51, 59, 17, -18, -30, 16, 33, 19, 73, -23, -25, -83, 100, 36, -69, -66, -59, -60, -75, -10, -57, 82, 65, -53, 82, 84, -85, -6, -62, 24, -95, 10, 69, 73, 29, -7, 64, -37, -30, 14, 25, -46, 31, -46, 24, 4, 45, -5, 31, -64, 64, 70, -93, -38, -60, 100, -93, 70, 100, 57, -86, 100, -74, -16, -66, 100, 84, -16, 21, 54, 74, 55, 92, -85, 19, 62, -28, -75, 54, -79, -18, -10, -47, 24, 87, -42, 40, 61, 5, 90, 8, -17, -70, 27, -30, 19, -5, 100 }));
for (var i = _population.Count; i < PopulationSize; i++)
{
var populationMember = new PopulationMember(CreateRandomGene());
_population.Add(populationMember);
}
Parallel.For(0, PopulationSize, i => EvaluateFitness(_population[i]));
}
private void GenerateInitialPopulation()
{
_population = new List <PopulationMember>();
/*if (File.Exists("input.csv"))
* {
* Console.WriteLine("Loading initial population from input.csv");
* foreach (var line in File.ReadLines("input.csv"))
* {
* var populationMember = new PopulationMember(line.Split(',').Select(double.Parse).ToArray());
* EvaluateFitness(populationMember);
* _population.Add(populationMember);
* }
* }
* else
* {
* Console.WriteLine("Generating initial population");
* }*/
//These is the defaults for GreedyCardValueUtilityMoveMaker
/*{
* var populationMember = new PopulationMember(new double[] { 0, 2, -1, -2, 1, 0, 0, 0 });
* EvaluateFitness(populationMember);
* _population.Add(populationMember);
* }
* {
* var populationMember = new PopulationMember(new double[] { 0, 2, -1, -1, 1, 0, 0, 0 });
* EvaluateFitness(populationMember);
* _population.Add(populationMember);
* }
* {
* var populationMember = new PopulationMember(new double[] { 0, 2, -1, 0, 1, 0, 0, 0 });
* EvaluateFitness(populationMember);
* _population.Add(populationMember);
* }*/
for (var i = _population.Count; i < PopulationSize; i++)
{
var populationMember = new PopulationMember(CreateRandomGene());
EvaluateFitness(populationMember);
_population.Add(populationMember);
}
}
private void GenerateInitialPopulation()
{
_population = new List <PopulationMember>();
//259/300, best found
var pop = new PopulationMember(new[] { -0.137817920411251, 0.348339462002654, -0.939692934258616, -1, 0.392946436940513, 0.013266931251092, 0.9772746516448, 0.0327358908758132, -0.22855272760502, 0.714828049102879, -0.835131391605933, -1, 0.9143385827683, 0.39412640298958, -0.732167609600687, 0.286710773085549, 0.471946845497181, 0.864818019663445, -1, -0.645937013195383, 0.268954919158809, 0.157722040671476, 0.0261397513768403, 0.603945769167509, 0.382381300234945, 0.516047207167027, -0.903378820881996, -1, 0.778852461609, 0.33624564592856, 0.114161065432366, -0.119081037913768, 0.409629372946493, 0.588256376939306, -0.584313931035003, -1, 0.631820934957675, 0.105551921888773, 0.485059839775916, 0.175447079244464, 0.0217098708386692, 0.474072431877471, -0.947118854257723, -1, 0.718028288329669, -0.145274906309353, 0.484791417216903, 0.1941424631512, 0.476394381427975, 1, -0.97518891025172, -0.948060596319604, 0.692455759491859, -0.149145498820027, -0.251388924279415, 0.318568385011994, 0.0532339753343959, 0.645539831949718, -0.878931686002491, -1, 0.510821939109356, 0.222661765683986, 0.650455628576523, 0.286105323025822, -0.243382261833878, 0.881495317768023, -1, -0.828711459791814, 0.584037884882151, 0.972812693750812, 0.902031109941401, -0.458191507986741, 0.198774525977411, 0.813185222393995, -0.84087906535047, -1, 0.882744242611162, 0.11019463637709, -0.0421177152037021, -0.0313901289955418, -0.203343180209008, 0.990798914059953, -0.637496983695981, -0.731835189203312, 0.279036605104025, -0.0565015032292163, 1, -0.205774005854999, 0.443929210611482, 0.966045989147136, -0.633316641069006, -1, 0.669245740920092, -0.154124367929948, 0.322322177938829, 0.13390719907764, 0.209377112574094, 0.828499205308851, -1, -0.826378719803577, 0.559745584558305, -0.0908342236456067, 0.792238791971541, -0.630426233519134, -0.0318268467711907, 0.596968311614293, -0.910690158996904, -1, 0.93354049611665, -0.0687108514160368, 0.277535686413393, -0.0146272018105138, 0.214084878922041, 0.644978543591578, -0.520093920341718, -0.852078610534693, 1, -0.00314039392419943, 0.869128396631158, -0.00520376959822522, 0.0733905051534918, 1, -0.489315414677562, -0.978066439244424, 0.630762660309886, -0.214537786060343, 0.847750604820378, -0.00907394556810293, 0.30071889184497, 0.919962862641434, -0.749113876983935, -1, 0.462063216144937, -0.00678188210366169, 0.930016645272017, 0.396636643415295, -0.123264816582842, 0.778379910178117, -0.953304944219475, -0.823738576021005, 1, -0.292126666434668, 0.119401303259095, 0.129113946806973, -0.656009032145633, 1, -0.481231815390818, -0.709931711623139, 0.478662071158979, -0.0616698397805257, 0.806959779377188, 0.599496190681781, -0.175243242472751, 0.923666154424148, -1, -0.805576750940059, 0.804115593808764, -0.151256215023377, 0.67860872050468, 0.381543007127206, -0.374229396387762, 1, -0.963131164691694, -0.930783493788918, 0.338681538159244, -0.0584082020637183, 0.932155232332886, -0.263873436345557, -0.260291141239392, 1, -0.836173574854971, -0.932536100233076, 0.50294862997363, 0.00874311196978663, 0.999955760488673, -0.0663928984966414, 0.193868262354297, 1, -0.562851045203207, -0.738953521622497, 0.904293419301055, -0.0799083528244316, 0.97755090262145, -0.150541435333468, -0.293678717527102, 0.81617633679863, -0.432243861594198, -0.901725454673964, 0.963404034901265, -0.504801031271107, 1, -0.424352545311316, -0.371200636425745, 0.849684230035647, -0.221668933213376, -0.989270196523552, 0.390771395419372, -0.248857151262095, 1, -0.428030401186889, -0.909448146354481, 1, -0.698480777367349, -0.987151191503439, 0.549593426452923, -0.163334326521863, 0.375462047561564, -0.315165987312531, 0.012604830290279, 0.953841447319483, -0.609900214479754, -0.960590808384641, 0.855542106480821, -0.0661998073551207, 1, 0.406229565121033, 0.134201312206754, 0.752329769265286, -0.52075400222535, -0.65883109554401, 0.663811376193903, -0.189054350414012, 1, 0.511750966185949, -0.0864448445632803, 1, -0.54905886933079, -0.964003197311252, 0.710315717178646, -0.0522196051065104, 0.956189211286371, -0.140173382797672, -0.0277993838300481, 1, -0.586241201678001, -0.843092619720529, 0.36569891932879, -0.0482976123106802, -0.109779724476885, -0.244442059296289, -0.780959795504072, 0.909764904516089, -0.318253521709846, -1, 0.968632551239981, -0.908604687595058, 0.56166238493448, 0.217482437048033, -0.49087120626975, 0.76304643834172, -0.82960838495659, -0.905555083487242, 1, -0.245734195245569, 0.620446095921358, -0.160432976374573, -0.430322875191828, 0.968088946188369, -0.694120635405088, -1, 0.516935358223429, 0.0587125405272703, 0.643324835225544, -0.295962479988169, -0.39745721370724, 1, -0.278026287820188, -0.916681704486157, 0.800071584460815, -0.237557127832164, 0.128084772002784, -0.4227557609451, -0.371638123650331, 0.988470511479719, -0.0590171044290914, -0.887815945194431, 0.593135135614459, -0.231093844010952, 1, -0.638324658995731, -0.363572912034346, 1, -0.867858970811165, -0.964594508972438, 0.818374450586069, -0.167885371046531, 0.715437053673537, 0.384703319383763, -0.292603738623428, 1, -0.376870911835439, -0.967403488488819, 0.912936357782998, -0.593831932926807, 0.88883824784242, 0.382340348831027, -0.634386548110694, 0.909657929591977, -0.245700301243777, -1, 0.273443307067055, -0.056659881827767, 0.477363005543441, 0.842935026861545, -0.332027969383779, 0.978033849546659, -0.68514221954899, -1, 0.873429152338144, -0.333619513901896, 0.959833327458636, -0.104968672928, -0.233252895360624, 1, -0.173259296544248, -0.699998786321411, 0.664578261583711, -0.120250589628928, 0.900356157627674, 0.0874392263145573, -0.271481793808361, 0.983789640878001, -0.629468249207035, -1, 0.806864345581149, -0.254110092505144, 0.611610351435021, -0.246638131222046, -0.41916356296059, 1, 0.112223811076088, -0.643895909299535, 0.231210076884669, -0.283821147994125, 0.726877548881033, -0.333869430691705, 0.194675251492644, 1, -0.677587449154977, -0.776022412468337, -0.164937928347311, -0.426565407139431, 0.382982600825797, 0.246736291610919, -0.0677556722993119, 0.856350613243355, -0.556229615465683, -0.638895947784756, 1, -0.366932112033037, 0.55131692913781, 0.690468215806002, -0.037785141199325, 0.866613007472053, -0.696933765415353, -0.914396782239104, 1, -0.53154480764022, 0.857610779335651, -0.197458189482521, -0.837966671873203, 1, 0.274028116727997, -0.553723733926615, 0.516946129545573, -0.563067463923689, 0.840050146496187, 0.218961127253361, -0.0102363229396804, 1, -0.729817828849437, -0.847887506654613, 0.627085630472745, -0.0689514879023928, 0.817048011296443, -0.471155084389032, -1, 0.870294715275508, -0.459080926325629, -0.865247557589426, 0.428711652389482, 0.184708511084962, 0.881867544995118, -0.233632485518528, 0.368436013406466, 0.789992985619614, -0.666884319344627, -0.876750614446496, -0.522288482766681, -0.145575324143286, 1, 0.0368261718405474, -0.304164237008167, 0.222305832164043, -0.848568267475738, -1, 0.988015222012298, 0.201900357905859, -0.0559888372145778, -0.0116179518475058, 0.0919659203847996, 0.857015921108279, -0.491712171584863, -0.652718629720298, -0.0859660470115806, -0.0778316167685703, 0.670815271831417, -1, -0.319222076458962, 1, -0.590249807866369, 0.279109514202479, 0.790323082697038, -0.22476673690442, 0.91817685381318, 0.208718490619993, 0.422337040634374, 0.96977672596845, -1, 0.506848447736712, 0.683062197292398, 0.0410306504290415, 0.038479186931154, -0.0248677471870259 });
EvaluateFitness(pop);
_population.Add(pop);
//Tuning1
var tuning1 = CreateRandomGene();
for (var i = 0; i < SimulationState.EndLocation; i++)
{
var offset = i * 8;
tuning1[offset + 0] = -0.03892573;
tuning1[offset + 1] = 1;
tuning1[offset + 2] = -0.593965087;
tuning1[offset + 3] = -0.984706754;
tuning1[offset + 4] = 0.554044008;
tuning1[offset + 5] = -0.052553921;
tuning1[offset + 6] = 0.609957017;
tuning1[offset + 7] = -0.015045333;
}
pop = new PopulationMember(tuning1);
EvaluateFitness(pop);
_population.Add(pop);
for (var i = _population.Count; i < PopulationSize; i++)
{
var populationMember = new PopulationMember(CreateRandomGene());
EvaluateFitness(populationMember);
_population.Add(populationMember);
}
}
public override T Crossover <T>(T b)
{
BalanceGA CWith = ((BalanceGA)(object)b);
var newData = new List <double>(Vector);
dynamic Params = Manager.GetParameters().JsonParams.parameters;
int x = 0;
int NonDistinctRangeStart = -1;
int NonDistinctRangeEnd = -1;
bool DistinctFlag = false;
int LastNonDistinctAccuracy = 1;
foreach (var P in Params)
{
if ((bool)P.enabled == true)
{
int ListSize = P.listsize != null ? (int)P.listsize : 1;
if (P.distinct == null || (bool)P.distinct == false)
{
if (NonDistinctRangeStart == -1)
{
NonDistinctRangeStart = x;
}
LastNonDistinctAccuracy = (int)P.rangeAccuracy;
NonDistinctRangeEnd = x + ListSize;
}
else
{
DistinctFlag = true;
var newSet = new HashSet <double>();
foreach (var X in Vector.Skip(x).Take(ListSize))
{
newSet.Add(X);
}
foreach (var X in CWith.Vector.Skip(x).Take(ListSize))
{
newSet.Add(X);
}
var vec = newSet.ToList();
vec.Shuffle();
var L = vec.Take(ListSize).ToList();
for (int i = 0; i < ListSize; i++)
{
newData[x + i] = L[i];
}
}
x += ListSize;
}
if (NonDistinctRangeStart != -1 && (DistinctFlag || NonDistinctRangeEnd == Vector.Count))
{
if (NonDistinctRangeEnd - NonDistinctRangeStart == 1)
{
newData[x] = Math.Round((Vector[NonDistinctRangeStart] + CWith.Vector[NonDistinctRangeStart]) / 2, (int)Math.Log10(LastNonDistinctAccuracy));
}
else
{
int p1 = rand.Next(NonDistinctRangeStart, NonDistinctRangeEnd - 1);
int p2 = rand.Next(p1 + 1, NonDistinctRangeEnd);
for (int i = p1; i < p2; i++)
{
newData[i] = CWith.Vector[i];
}
}
NonDistinctRangeStart = -1;
DistinctFlag = false;
}
}
PopulationMember ret = (T)Activator.CreateInstance(typeof(T), new object[] { Manager, newData, rand });
((BalanceGA)ret).CreatedBy = "Crossover";
return((T)ret);
}
private void EvaluateFitness(PopulationMember populationMember)
{
populationMember.Fitness = 1 + CalculateChallengerWinsFrom100(_boss, populationMember.MoveMaker);
}
private void EvaluateFitness(PopulationMember populationMember)
{
populationMember.Fitness = 1 + CalculateChallengerWinsFrom100(populationMember.Strategy);
}
