public NWSEGenome createOriginGenome(Session session)
{
NWSEGenome genome = new NWSEGenome();
//生成感受器
this.createReceptors(genome, session);
//生成缺省推理节点
int[] varids = { genome["d1"].Id, genome["d2"].Id,
genome["d3"].Id, genome["d4"].Id,
genome["d5"].Id, genome["d6"].Id,
genome["b"].Id,
genome["heading"].Id };
for (int i = 0; i < varids.Length; i++)
{
List <int> conditions = new List <int>();
conditions.Add(genome["_a2"].Id);
List <int> variables = new List <int>();
variables.Add(varids[i]);
InferenceGene inferenceGene = new InferenceGene(genome, 1, conditions, variables);
inferenceGene.Generation = session.Generation;
inferenceGene.Id = Session.idGenerator.getGeneId(inferenceGene);
genome.inferenceGenes.Add(inferenceGene);
}
genome.id = Session.idGenerator.getGenomeId();
genome.generation = 1;
genome.computeNodeDepth();
return(genome);
}
public static HandlerGene parse(NWSEGenome genome, String s)
{
int t1 = s.IndexOf("info");
int t2 = s.IndexOf(":", t1 + 1);
int t3 = s.IndexOf(";", t2 + 1);
String info = s.Substring(t2 + 1, t3 - t2 - 1);
//解析param部分
t1 = s.IndexOf("function");
t2 = s.IndexOf("=", t1 + 1);
t3 = s.IndexOf(";", t2 + 1);
String function = s.Substring(t2 + 1, t3 - t2 - 1).Trim();
t1 = s.IndexOf("inputs");
t2 = s.IndexOf("=", t1 + 1);
t3 = s.IndexOf(";", t2 + 1);
String inputstr = s.Substring(t2 + 1, t3 - t2 - 1).Trim();
List <int> inputids = Utility.parse(inputstr).ConvertAll(v => (int)v);
//解析info
HandlerGene gene = new HandlerGene(genome, function, inputids, null);
gene.parseInfo(info);
//解析参数
t1 = s.IndexOf("param");
t2 = s.IndexOf("=", t1 + 1);
String paramtext = s.Substring(t2 + 1, s.Length - t2 - 1).Trim();
gene.param = Utility.parse(paramtext);
return(gene);
}
public NWSEGenome createSimpleGenome(Session session)
{
NWSEGenome genome = new NWSEGenome();
//生成感受器
this.createReceptors(genome, session);
//生成缺省推理节点
List <int> conditions = new List <int>();
List <int> variables = new List <int>();
conditions.Add(genome["heading"].Id);
conditions.Add(genome["_a2"].Id);
variables.Add(genome["heading"].Id);
InferenceGene inferenceGene = new InferenceGene(genome, 1, conditions, variables);
inferenceGene.Generation = session.Generation;
inferenceGene.Id = Session.idGenerator.getGeneId(inferenceGene);
genome.inferenceGenes.Add(inferenceGene);
genome.id = Session.idGenerator.getGenomeId();
genome.generation = 1;
genome.computeNodeDepth();
return(genome);
}
/// <summary>
/// 交叉
/// </summary>
/// <param name="g1"></param>
/// <param name="g2"></param>
/// <returns></returns>
public static NWSEGenome crossover(NWSEGenome g1, NWSEGenome g2, Session session)
{
NWSEGenome genome = g1.clone();
genome.generation = session.Generation;
List <InferenceGene> infGenes = new List <InferenceGene>(g2.inferenceGenes);
int count = 0;
for (int i = 0; i < 8; i++)
{
int index = rng.Next(0, infGenes.Count);
InferenceGene g2InfGene = infGenes[index].clone <InferenceGene>();
InferenceGene g1InfGene = (InferenceGene)genome[g2InfGene.Id];
if (g1InfGene == null)
{
continue;
}
int d = genome.inferenceGenes.IndexOf(g1InfGene);
genome.inferenceGenes[d] = g2InfGene;
count += 1;
if (count >= 3)
{
break;
}
}
genome.computeNodeDepth();
genome.id = Session.idGenerator.getGenomeId();
return(genome);
}
public NWSEGenome createFullGenome(Session session)
{
NWSEGenome genome = new NWSEGenome();
//生成感受器
this.createReceptors(genome, session);
InferenceGene inferenceGene = null;
//生成推理节点:1
List <int> conditions = new List <int>();
List <int> variables = new List <int>();
conditions.Add(genome["heading"].Id);
conditions.Add(genome["_a2"].Id);
variables.Add(genome["heading"].Id);
inferenceGene = new InferenceGene(genome, 1, conditions, variables);
inferenceGene.Generation = session.Generation;
inferenceGene.Id = Session.idGenerator.getGeneId(inferenceGene);
genome.inferenceGenes.Add(inferenceGene);
conditions = new List <int>();
conditions.Add(genome["d1"].Id);
conditions.Add(genome["d2"].Id);
conditions.Add(genome["d3"].Id);
conditions.Add(genome["d4"].Id);
conditions.Add(genome["d5"].Id);
conditions.Add(genome["d6"].Id);
conditions.Add(genome["heading"].Id);
conditions.Add(genome["_a2"].Id);
int[] varIds = { genome["d1"].Id, genome["d2"].Id,
genome["d3"].Id, genome["d4"].Id,
genome["d5"].Id, genome["d6"].Id,
//["g1"].Id, genome["gd"].Id,
//genome["g3"].Id, genome["g4"].Id,
//genome["b"].Id,genome["heading"].Id
};
//生成推理节点
for (int i = 0; i < varIds.Length; i++)
{
inferenceGene = new InferenceGene(genome, 1, new List <int>(conditions), new int[] { varIds[i] }.ToList());
inferenceGene.Generation = session.Generation;
inferenceGene.Id = Session.idGenerator.getGeneId(inferenceGene);
genome.inferenceGenes.Add(inferenceGene);
}
inferenceGene = new InferenceGene(genome, 1,
new int[] { genome["d3"].Id, genome["heading"].Id, genome["_a2"].Id }.ToList(),
new int[] { genome["b"].Id }.ToList());
inferenceGene.Generation = session.Generation;
inferenceGene.Id = Session.idGenerator.getGeneId(inferenceGene);
genome.inferenceGenes.Add(inferenceGene);
genome.id = Session.idGenerator.getGenomeId();
genome.generation = 1;
genome.computeNodeDepth();
return(genome);
}
public static NWSEGenome Parse(String str)
{
if (str == null || str.Trim() == "")
{
return(null);
}
List <String> s1 = str.Split(new String[] { System.Environment.NewLine }, StringSplitOptions.RemoveEmptyEntries).ToList();
if (s1 == null || s1.Count <= 0)
{
return(null);
}
NWSEGenome genome = new NWSEGenome();
genome.id = int.Parse(s1[0]);
s1.RemoveAt(0);
if (int.TryParse(s1[0], out genome.generation))
{
s1.RemoveAt(0);
}
foreach (String s in s1)
{
if (s == null || s.Trim() == "")
{
continue;
}
if (s.StartsWith("ReceptorGene"))
{
genome.receptorGenes.Add(ReceptorGene.parse(genome, s));
}
else if (s.StartsWith("HandlerGene"))
{
genome.handlerGenes.Add(HandlerGene.parse(genome, s));
}
else if (s.StartsWith("InferenceGene"))
{
genome.inferenceGenes.Add(InferenceGene.parse(genome, s));
}
else if (s.StartsWith("handlerSelectionProb"))
{
int s2 = s.IndexOf("handlerSelectionProb");
s2 = s.IndexOf("=", s2 + 1);
String s3 = s.Substring(s2 + 1).Trim();
genome.handlerSelectionProb.Clear();
genome.handlerSelectionProb.AddRange(Utility.parse(s3));
}
else if (s.StartsWith("vaild"))
{
String s2 = s.Substring(s.IndexOf("="));
genome.validInferenceGenes.Add(NodeGene.parseGene(genome, s2));
}
}
genome.computeNodeDepth();
return(genome);
}
public HandlerGene(NWSEGenome genome, String function, List <int> inputs, params double[] ps) : base(genome)
{
this.function = function;
this.inputs.AddRange(inputs);
if (ps != null && ps.Length > 0)
{
param.AddRange(ps);
}
}
/// <summary>
/// 判断两个染色体是否等价：如果处理器基因和推理基因完全一样的话（不包括可变异参数在内）
/// </summary>
/// <param name="genome"></param>
/// <returns></returns>
public bool equiv(NWSEGenome genome)
{
if (handlerGenes.Count != genome.handlerGenes.Count)
{
return(false);
}
for (int i = 0; i < handlerGenes.Count; i++)
{
for (int j = 0; j < genome.handlerGenes.Count; j++)
{
if (!handlerGenes[i].equiv(genome.handlerGenes[j]))
{
return(false);
}
}
}
if (genome.handlerGenes.Count != handlerGenes.Count)
{
return(false);
}
for (int i = 0; i < genome.handlerGenes.Count; i++)
{
if (handlerGenes.Exists(g => g.Id == genome.handlerGenes[i].Id))
{
continue;
}
for (int j = 0; j < handlerGenes.Count; j++)
{
if (!genome.handlerGenes[i].equiv(handlerGenes[j]))
{
return(false);
}
}
}
if (inferenceGenes.Count != genome.inferenceGenes.Count)
{
return(false);
}
for (int i = 0; i < inferenceGenes.Count; i++)
{
for (int j = 0; j < genome.inferenceGenes.Count; j++)
{
if (!inferenceGenes[i].equiv(genome.inferenceGenes[j]))
{
return(false);
}
}
}
return(true);
}
/// <summary>
/// 克隆
/// </summary>
/// <returns></returns>
public NWSEGenome clone()
{
NWSEGenome genome = new NWSEGenome();
receptorGenes.ForEach(r => genome.receptorGenes.Add(r.clone <ReceptorGene>()));
genome.handlerSelectionProb.Clear();
genome.handlerSelectionProb.AddRange(handlerSelectionProb);
handlerGenes.ForEach(h => genome.handlerGenes.Add(h.clone <HandlerGene>()));
inferenceGenes.ForEach(i => genome.inferenceGenes.Add(i.clone <InferenceGene>()));
validInferenceGenes.ForEach(vf => genome.validInferenceGenes.Add(vf.clone <NodeGene>()));
return(genome);
}
private List <ReceptorGene> createReceptors(NWSEGenome genome, Session session)
{
List <Configuration.Sensor> sensors = Session.GetConfiguration().agent.receptors.GetAllSensor();
for (int i = 0; i < sensors.Count; i++)
{
ReceptorGene receptorGene = new ReceptorGene(genome);
receptorGene.Cataory = sensors[i].cataory;
receptorGene.Generation = session.Generation;
receptorGene.Group = sensors[i].group;
receptorGene.Name = sensors[i].name;
receptorGene.Description = sensors[i].desc;
receptorGene.Id = session.GetIdGenerator().getGeneId(receptorGene);
genome.receptorGenes.Add(receptorGene);
}
return(genome.receptorGenes);
}
/// <summary>
/// 构造函数
/// </summary>
/// <param name="genome">染色体</param>
public EffectorGene(NWSEGenome genome) : base(genome)
{
}
public NWSEGenome createReabilityGenome(Session session)
{
NWSEGenome genome = new NWSEGenome();
//生成感受器
this.createReceptors(genome, session);
InferenceGene inferenceGene = null;
//生成推理节点:1
List <int> conditions = new List <int>();
List <int> variables = new List <int>();
conditions.Add(genome["heading"].Id);
conditions.Add(genome["_a2"].Id);
variables.Add(genome["heading"].Id);
inferenceGene = new InferenceGene(genome, 1, conditions, variables);
inferenceGene.Generation = session.Generation;
inferenceGene.Id = Session.idGenerator.getGeneId(inferenceGene);
genome.inferenceGenes.Add(inferenceGene);
//生成推理节点:4
int[] ids = new int[] { genome["d1"].Id, genome["d2"].Id,
genome["d3"].Id, genome["d4"].Id,
genome["d5"].Id, genome["d6"].Id };
foreach (int did in ids)
{
conditions = new List <int>();
variables = new List <int>();
conditions.Add(did);
// conditions.Add(genome["heading"].Id);
conditions.Add(genome["_a2"].Id);
variables.Add(did);
inferenceGene = new InferenceGene(genome, 1, conditions, variables);
inferenceGene.Generation = session.Generation;
inferenceGene.Id = Session.idGenerator.getGeneId(inferenceGene);
genome.inferenceGenes.Add(inferenceGene);
}
inferenceGene = new InferenceGene(genome, 1,
new int[] { genome["d3"].Id, genome["_a2"].Id }.ToList(),
new int[] { genome["b"].Id }.ToList());
inferenceGene.Generation = session.Generation;
inferenceGene.Id = Session.idGenerator.getGeneId(inferenceGene);
genome.inferenceGenes.Add(inferenceGene);
//生成推理节点:4
/*ids = new int[] { genome["g1"].Id, genome["gd"].Id};
* foreach (int did in ids)
* {
* conditions = new List<int>();
* variables = new List<int>();
* conditions.Add(genome["g1"].Id);
* conditions.Add(genome["gd"].Id);
* conditions.Add(genome["heading"].Id);
* conditions.Add(genome["_a2"].Id);
* variables.Add(did);
* inferenceGene = new InferenceGene(genome,1,conditions,variables);
* inferenceGene.Generation = session.Generation;
* inferenceGene.Id = Session.idGenerator.getGeneId(inferenceGene);
* genome.inferenceGenes.Add(inferenceGene);
* }*/
genome.id = Session.idGenerator.getGenomeId();
genome.generation = 1;
genome.computeNodeDepth();
return(genome);
}
/// <summary>
/// 变异
/// </summary>
/// <param name="session"></param>
/// <returns></returns>
public NWSEGenome mutate(Session session)
{
NWSEGenome genome = this.clone();
genome.generation = session.Generation;
//若有效基因库不空，生成有效基因
List <NodeGene> vaildGenes = genome.validInferenceGenes;
if (vaildGenes != null && vaildGenes.Count > 0)
{
foreach (NodeGene g in vaildGenes)
{
if (genome.exist(g.Id))
{
continue;
}
genome.put(g.clone <NodeGene>());
}
}
//添加一个处理器
List <NodeGene> inputGenes = null;
HandlerGene newHandleGene = null;
int maxcount = 8;
if (rng.NextDouble() < Session.config.evolution.mutate.newHandleGeneProb)
{
int num = 0;
while (++num <= maxcount)
{
//随机选择处理器
double[] handler_selection_prob = Session.GetConfiguration().evolution.mutate.Handlerprob.ToArray();
Configuration.Handler cHandler = Session.GetConfiguration().random_handler(handler_selection_prob);
//选择感知组
List <String> cataories = genome.GetAllCataory("rotate");
String cataory = cataories[rng.Next(0, cataories.Count)];
inputGenes = genome.GetAllInputGenes(cataory);
inputGenes.shuffle();
//确定输入数
int inputcount = rng.Next(cHandler.mininputcount, cHandler.maxinputcount + 1);
if (inputGenes.Count < inputcount)
{
continue;
}
//确定输入
List <int> inputids = new List <int>();
for (int i = 0; i < inputcount; i++)
{
inputids.Add(inputGenes[i].Id);
}
//生成
double[] ps = cHandler.randomParam();
HandlerGene g = new HandlerGene(genome, cHandler.name, inputids, ps);
g.Generation = session.Generation;
g.Cataory = inputGenes[0].Cataory;
g.Group = inputGenes[0].Group;
g.sortInput();
g.Id = session.GetIdGenerator().getGeneId(g);
if (genome.exist(g.Id))
{
continue;
}
newHandleGene = g;
genome.handlerGenes.Add(newHandleGene);
session.triggerEvent(Session.EVT_LOG, "A new handler gene is produced in " + genome.id.ToString() + ":" + newHandleGene.Text);
break;
}
}
//如果生成了新hanler，生成后置变量
InferenceGene inf = null;
if (newHandleGene != null)
{
List <int> conditions = new List <int>();
List <int> variables = new List <int>();
int timediff = 1;
variables.Add(newHandleGene.Id);
List <ReceptorGene> actionSensorGenes = genome.getActionSensorGenes();
for (int i = 0; i < actionSensorGenes.Count; i++)
{
conditions.Add(actionSensorGenes[i].Id);
}
inf = new InferenceGene(genome, timediff, conditions, variables);
inf.Cataory = newHandleGene.Cataory;
inf.Generation = session.Generation;
inf.Id = Session.idGenerator.getGeneId(inf);
genome.inferenceGenes.Add(inf);
session.triggerEvent(Session.EVT_LOG, "A inference gene is added in " + genome.id.ToString() + ":" + inf.Text);
}
//选择需要变异的推理节点(按照可靠度排序，可靠度越小变异概率越大)
List <InferenceGene> infGenes = genome.inferenceGenes.FindAll(g => g.reability <= 0.5);
if (infGenes == null || infGenes.Count <= 0)
{
infGenes = genome.inferenceGenes.FindAll(g => g.reability <= 0.98);
}
//没有需要变异的推理节点
inputGenes = genome.GetAllInputGenes(null);
int mutateinfcount = 0;
double infMutateProb = Session.config.evolution.mutate.infMutateProb;
double infMutateAddProb = Session.config.evolution.mutate.infMutateAddProb;
double infMutateRemoveProb = Session.config.evolution.mutate.infMutateRemoveProb;
for (int i = 0; i < infGenes.Count; i++)
{
if (rng.NextDouble() >= infMutateProb)
{
continue;
}
inf = infGenes[i].clone <InferenceGene>();
inf.owner = genome;
int oldinfid = inf.Id;
String prevText = inf.Text;
List <int> condIds = inf.conditions;
int num = 0;
maxcount = 5;
while (++num <= maxcount)
{
//删除
if (condIds.Count > 2 && (condIds.Count == inputGenes.Count || rng.NextDouble() <= infMutateRemoveProb))
{
condIds = inf.conditions.FindAll(c => !genome[c].IsActionSensor());
int index = rng.Next(0, condIds.Count);
inf.conditions.RemoveAt(index);
if (Session.IsInvaildGene(inf))
{
inf = infGenes[i].clone <InferenceGene>(); inf.owner = genome; continue;
}
inf.Id = Session.idGenerator.getGeneId(inf);
genome.replaceGene(oldinfid, inf);
mutateinfcount += 1;
session.triggerEvent(Session.EVT_LOG, "conditions of inference gene is removed(" + genome.id.ToString() + "):" + prevText + "--->" + inf.Text);
break;
}
//添加
else if (condIds.Count < inputGenes.Count && rng.NextDouble() <= infMutateAddProb)
{
List <NodeGene> temp = inputGenes.FindAll(g => !condIds.Contains(g.Id));
int index = rng.Next(0, temp.Count);
inf.conditions.Add(temp[index].Id);
inf.Sortdimension();
if (Session.IsInvaildGene(inf))
{
inf = infGenes[i].clone <InferenceGene>(); inf.owner = genome; continue;
}
inf.Id = Session.idGenerator.getGeneId(inf);
genome.replaceGene(oldinfid, inf);
mutateinfcount += 1;
session.triggerEvent(Session.EVT_LOG, "conditions of inference gene is added(" + genome.id.ToString() + "):" + prevText + "--->" + inf.Text);
break;
}
else //修改
{
condIds = inf.conditions.FindAll(c => !genome[c].IsActionSensor());
if (condIds.Count <= 0)
{
continue;
}
int index1 = rng.Next(0, condIds.Count);
List <NodeGene> temp = inputGenes.FindAll(g => !condIds.Contains(g.Id) || g.Id != condIds[index1]);
int index2 = rng.Next(0, temp.Count);
inf.conditions[index1] = temp[index2].Id;
inf.Sortdimension();
if (Session.IsInvaildGene(inf))
{
inf = infGenes[i].clone <InferenceGene>(); inf.owner = genome; continue;
}
inf.Id = Session.idGenerator.getGeneId(inf);
genome.replaceGene(oldinfid, inf);
mutateinfcount += 1;
session.triggerEvent(Session.EVT_LOG, "conditions of inference gene is modified(" + genome.id.ToString() + "):" + prevText + "--->" + inf.Text);
break;
}
}
}
genome.computeNodeDepth();
genome.id = Session.idGenerator.getGenomeId();
return(genome);
}