Description of the bug

The run() method of the SimulatedAnnealing class has a bug when the annealing method does not find a better state than the initial one.

When does it happens

The bug happens when the annealing algorithm fails to find a better state than the initial one. This can happen when the maxim

Hi,
sorry for opening an issue for this, but i dont know how else to contact you.
Is there any documentation on how to actually implement SharpNeat? There is a collection of examples somewhere in the internet using sharpneat, which i can not find again, and there is that 8 year old tutorial from someone using it for TicTacToe, but which is incompatible to the current Nuget release. Outside of th

Suppose that we are working with this bit of code.

from evol import Population, Evolution
from evol.logger import BaseLogger, SummaryLogger
from evol.helpers.pickers import pick_random

def change(gene, size=8):
  return min(BOARD_SIZE, max(1, gene + randint(-1, 1)))

def mutate_coords(chrmsm, p=0.1):
  return [(change(x), change(y)) if random() < p else (x,y) for x,y in chrmsm]

Migrate and test the Parameters classes from the openDse to the Opt4J project.