Consecutive threads

As shown below, the genetic algorithm is applied to consecutive objects.
The next calculation should not begin until the previous calculation ends.

However, without any code between ...., calculation thread is generated simulataneously. As I monitor ts(ThreadState), it maintains constantly 'Background, Unstarted' even in the end of the calculation. If I insert while loop the thread does not start.

If I use Thread.IsAlive, it works good. It shows 'false' when the calculation is terminated. But, I have no idea to apply this property to my code without while loop.

How can I do that? Is an event in need?

foreach (object o in objects)
{
Calculate calc = new Calculate(o);

Thread t = calc.T
ThreadState ts = t.ThreadState
....
calc.Start();
....
}

class Calculation
{
public Thread T {get {return t;}}

public void Start()
{
t = new Thread(new ThreadStart(Evolution));
t.IsBackground = true;
t.Start();
}

// Genetic algorithm
private void Evolution()
{
..............
}
}

As shown below, the genetic algorithm is applied to consecutive objects.
The next calculation should not begin until the previous calculation ends.

As shown below, the genetic algorithm is applied to consecutive objects.
The next calculation should not begin until the previous calculation ends.

However, without any code between ...., calculation thread is generated simulataneously.
As I monitor ts(ThreadState), it maintains constantly 'Background, Unstarted' even in the end of the calculation.
If I insert while loop the thread does not start.

If I use Thread.IsAlive, it works good. It shows 'false' when the calculation is terminated.
But, I have no idea to apply this property to my code without while loop.

How can I do that? Is an event in need?

foreach (object o in objects)
{
Calculate calc = new Calculate(o);

Thread t = calc.T
ThreadState ts = t.ThreadState
....
calc.Start();
....
}

class Calculation
{
public Thread T {get {return t;}}

public void Start()
{
t = new Thread(new ThreadStart(Evolution));
t.IsBackground = true;
t.Start();
}

// Genetic algorithm
private void Evolution()
{
..............
}
}