本文整理汇总了C#中System.Environment.Simulate方法的典型用法代码示例。如果您正苦于以下问题：C# Environment.Simulate方法的具体用法？C# Environment.Simulate怎么用？C# Environment.Simulate使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类System.Environment的用法示例。
在下文中一共展示了Environment.Simulate方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: run
public override Statistics run()
{
Environment env = new Environment();
//dist
List<double> valueList = new List<double>() { 1, 2, 3, 4, 5 };
List<double> distribution = new List<double>() { 0.5, 0.6, 0.7, 0.8, 1.0 };
Discrete d = new Discrete(valueList, distribution);
//dist1
Uniform n = new Uniform(1, 3);
Distribution dist = new Distribution(d);
Distribution dist1 = new Distribution(n);
Create c = new Create(env, 0, 20, dist);
Dispose di = new Dispose(env, 1);
Queue q = new Queue(env, 3);
q.Capacity = 1;
Resource r = new Resource(env, 2, 1, dist1, q);
c.Next_AID.Add("First", 2);
r.Next_AID.Add("First", 1);
env.System_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Start_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Setup_Simulation();
return env.Simulate();
}示例2: run
public double run()
{
Environment env = new Environment();
//dist for Create
Constant Const = new Constant(1);
Distribution CreateDist = new Distribution(Const);
//distributions for Inventory
List<double> States = new List<double>() { 1, 2, 3 }; //1 for good, 2 for fair, 3 for poor
List<double> States_Prob = new List<double>() { 0.35, 0.80, 1.00 };
Discrete StatesDisc = new Discrete(States, States_Prob);
List<double> State1 = new List<double>() { 40, 50, 60, 70, 80, 90, 100 };
List<double> State1_Prob = new List<double>() { 0.03, 0.08, 0.23, 0.43, 0.78, 0.93, 1.00 };
Discrete State1Disc = new Discrete(State1, State1_Prob);
List<double> State2 = new List<double>() { 40, 50, 60, 70, 80, 90, 100 };
List<double> State2_Prob = new List<double>() { 0.10, 0.28, 0.68, 0.88, 0.96, 1.00, 1.00 };
Discrete State2Disc = new Discrete(State2, State2_Prob);
List<double> State3 = new List<double>() { 40, 50, 60, 70, 80, 90, 100 };
List<double> State3_Prob = new List<double>() { 0.44, 0.66, 0.82, 0.94, 1.00, 1.00, 1.00 };
Discrete State3Disc = new Discrete(State3, State3_Prob);
Dictionary<double, Discrete> Demand = new Dictionary<double, Discrete>();
Demand.Add(1, State1Disc);
Demand.Add(2, State2Disc);
Demand.Add(3, State3Disc);
List<Int64> Amount = new List<Int64>();
for (int i = 0; i < 20; i++) Amount.Add(70);
Create create = new Create(env, 0, 20, CreateDist, Amount);
Dispose dispose = new Dispose(env, 2);
Inventory inv = new Inventory(env, 1, new TimeSpan(1), 70, StatesDisc, Demand, 0.33, 0.50, true, 0.05);
create.Next_AID.Add("First", 1);
inv.Next_AID.Add("First", 2);
env.System_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Start_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Setup_Simulation();
env.Simulate();
double sumOfProfit = 0;
for (int i = 1; i <= 20; i++)
sumOfProfit += (double)inv.Statistics.OtherStatistics[i][5].StatisticValue;
return sumOfProfit;
}示例3: run
public void run()
{
Environment env = new Environment();
//
List<double> valueList = new List<double>() { 1, 2, 3, 4, 5 };
List<double> distribution = new List<double>() { 0.5, 0.6, 0.7, 0.8, 1.0 };
Discrete discrete = new Discrete(valueList, distribution, 0);
//
Uniform uniform = new Uniform(1, 3, 0);
Distribution CreateDist = new Distribution(discrete);
Distribution ResDist = new Distribution(uniform);
Create c = new Create(env, 0, 4, CreateDist);
Dispose dispose = new Dispose(env, 10);
Queue q = new Queue(env, 5);
q.Capacity = 10;
Resource r = new Resource(env, 1, 1, ResDist, q);
Queue q2 = new Queue(env, 6);
q2.Capacity = 10;
Resource r2 = new Resource(env, 2, 1, ResDist, q2);
Queue q3 = new Queue(env, 7);
q3.Capacity = 10;
Resource r3 = new Resource(env, 3, 1, ResDist, q3);
Queue q4 = new Queue(env, 8);
q4.Capacity = 10;
Resource r4 = new Resource(env, 4, 1, ResDist, q4);
c.Next_AID.Add("First", 1);
r.Next_AID.Add("First", 2);
r2.Next_AID.Add("First", 3);
r3.Next_AID.Add("First", 4);
r4.Next_AID.Add("First", 2);
env.System_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Start_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Setup_Simulation(TimeSpan.FromSeconds(300));
env.Simulate();
}示例4: run
public override Statistics run()
{
Environment env = new Environment();
//dist for Create
Uniform CreateDist = new Uniform(1, 5);
//dist for Able
Uniform AbleDist = new Uniform(4, 6);
//dist for Baker
Uniform BakerDist = new Uniform(2, 5);
Distribution DistCreate = new Distribution(CreateDist);
Distribution DistAble = new Distribution(AbleDist);
Distribution DistBaker = new Distribution(BakerDist);
Create create = new Create(env, 0, 100, DistCreate);
Dispose dispose = new Dispose(env, 10);
Queue SharedQueue = new Queue(env, 3);
Resource Able = new Resource(env, 1, 1, DistAble, SharedQueue);
Resource Baker = new Resource(env, 2, 1, DistBaker, SharedQueue);
Decide decide = new Decide(env, 5);
//Condition
EQCond cond = new EQCond(0, Able, Actor.StateType.Idle);
decide.AddCondition(cond, Able.AID);
decide.AddElse(Baker.AID);
create.Next_AID.Add("First", 5);
Able.Next_AID.Add("First", 10);
Baker.Next_AID.Add("First", 10);
env.System_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Start_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Setup_Simulation();
return env.Simulate();
}示例5: run
public void run()
{
Environment env = new Environment();
//dist
List<double> valueList = new List<double>() { 1, 2, 3, 4, 5 };
List<double> distribution = new List<double>() { 0.5, 0.6, 0.7, 0.8, 1.0 };
Discrete d = new Discrete(valueList, distribution, 0);
//dist1
Uniform n = new Uniform(1, 3, 0);
Distribution dist = new Distribution(d);
Distribution dist1 = new Distribution(n);
Create c = new Create(env, 0, 10000, dist,null,new List<double>(){0.3,0.8,1.0});
Dispose di = new Dispose(env, 1);
Queue q = new Queue(env, 3);
q.Capacity = 1;
Resource r = new Resource(env, 2, 1, dist1, q);
Queue q2 = new Queue(env,5);
q2.Capacity = 1;
Resource r2 = new Resource(env, 6, 1, dist1, q2);
Queue q3 = new Queue(env, 10);
q3.Capacity = 1;
Resource r3 = new Resource(env, 7, 1, dist1, q3);
c.Next_AID.Add("First", 2);
c.Next_AID.Add("Second", 6);
c.Next_AID.Add("Third", 7);
r.Next_AID.Add("First", 1);
r2.Next_AID.Add("First", 1);
r3.Next_AID.Add("First", 1);
env.System_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Start_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Setup_Simulation();
env.Simulate();
}示例6: run
public void run()
{
Environment env = new Environment();
//dist
Uniform d = new Uniform(1, 1, 0);
//dist1
Uniform n = new Uniform(5, 5, 0);
Distribution dist = new Distribution(d);
Distribution dist1 = new Distribution(n);
Create c = new Create(env, 0, 10, dist);
Dispose di = new Dispose(env, 10);
Queue q = new Queue(env, 3);
q.Capacity = 10;
Resource r = new Resource(env, 1, 1, dist1, q);
Queue q2 = new Queue(env, 4);
q2.Capacity = 5;
Resource r2 = new Resource(env, 2, 1, dist1, q);
Decide de = new Decide(env, 5);
//Condition
EQCond cond = new EQCond(0, r, Actor.StateType.Busy);
de.AddCondition(cond, r2.AID);
de.AddElse(r.AID);
c.Next_AID.Add("First", 5);
r.Next_AID.Add("First", 10);
r2.Next_AID.Add("First", 10);
env.System_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Start_Time = new DateTime(1970, 1, 1, 0, 0, 0);
env.Setup_Simulation();
env.Simulate();
///////
}