combining all the functionalty in a single optimizer

[jbytecode]

Now, it is time to implement an optimizer function. It will be necessary for the simulation suite.

The definition of the optimizer function should be in the form of

def optimize(
      type: str, 
      problem: AbstractProblem,
      crossover,
      mutation, 
      selection, 
      crossprob: float, 
      mutateprob: float, 
      maxiter: int,
      etc...
)

so we can optimize the OneMax by a simple call like

result = optimize("Binary", OneMax, OnePointCrossover, BitSwapMutation, TournamentSelection, 0.80, 0.10, 1000, etc...) 

and the function may return a Dict() something like

    x => [1,1,1,1,1,1,1,1,1],
   obj => 9,
   foundatiteration => 10,
   etc.

[jbytecode]

The file https://github.com/SevgiAkten/pycell/blob/main/cga/optimizer.py includes an optimizer but there are still some issues:

• lowercase the function arguments
• The Dict() object should have values that mapped to proper keys, e.g. "popsize": 20, "chsize": 5, etc. but not "----------------------": "...", these are for print formatting, not a key mapped to a value so it is an abused use of dictionaries.
• If you really need printed values, implement a pretty_printer(d: dict) that prints the optimization results given by a dict object.

[SevgiAkten]

I printed optimizer results and parameters in another way. Nevertheless, I researched pretty_printer(d: dict) to learn it. Thank you sir for sharing this information with me.

[jbytecode]

When you have a dict object in Python which is created like

>>> v = {"x":  3, "y": 10, "z": [1, 2, 3]}

then you are able to access its elements using string keys like

>>> v["x"]
3
>>> v["y"]
10
>>> v["z"]
[1, 2, 3]

so it is better to use compact key values rather than sentences.

So a key value Best Solution Chromosome : is not a proper use.

[jbytecode]

of course, we should not use single character strings, a key value like pop_size is okay, the point here is that the key values are like variable names