Genetic algorithm gives same result everytime

Hello,

I'm trying to minimise total cost of inventory incurred by a bread retailer, by optimising the maximum inventory level. Im using genetic algorithm. The output that i need to record is the maximum inventory level and Total cost. atleast 5 entries.

My problem is that after running the genetic algorithm multiple times, it is giving the same results. Is there a problem with my code? It is attached below.

objective function is 'totalcost'. Accessory to it is 'inventoryupdate'.

Genetic algorithm is in 'check2'. It was made using optimiser task insert.

[Walter Roberson]

check2

  OptimizationProblem : 

	Solve for:
       maxS
	where:
       maxS integer

	minimize :
       totalCostFunction(maxS)


	variable bounds:
       10 <= maxS <= 100


Solving problem using ga.
ga stopped because the average change in the penalty function value is less than options.FunctionTolerance and 
the constraint violation is less than options.ConstraintTolerance.

solution = struct with fields:
    maxS: 45

reasonSolverStopped = 
    SolverConvergedSuccessfully

objectiveValue = int32 32520

check2

  OptimizationProblem : 

	Solve for:
       maxS
	where:
       maxS integer

	minimize :
       totalCostFunction(maxS)


	variable bounds:
       10 <= maxS <= 100


Solving problem using ga.
ga stopped because the average change in the penalty function value is less than options.FunctionTolerance and 
the constraint violation is less than options.ConstraintTolerance.

solution = struct with fields:
    maxS: 45

reasonSolverStopped = 
    SolverConvergedSuccessfully

objectiveValue = int32 32520

Answer 1

[Walter Roberson]

You have a single variable that is integer constrained between 10 and 100. That is only 91 different values to search, at most -- and the search is guided by the function values.

The problem is just simple enough that you always get the same answer in practice.

[Gauri]

oh

thank you