Genetic methods to improve genetic algorithm for the

algorithm studies are studies that show that best new individuals could be
obtained at the end of genetic processes by combining this genetic evolution
process to the computer environment by being affected by evolution and change
in living things.

A probabilistic algorithm is
one that tries to find the most suitable solution in many possible solutions.

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In this report,
after examining the problem, we have proposed a new and effective methods to
improve genetic algorithm for the problem.So, a new genetic algorithm is
developed for the p –median problem with an initial population. Thus, good starting
solutions are obtained and the parents are selected for next the generation. To show the efficiency of the
algorithm, a computational results were created using the proposed algorithm. We
did experiments comparing three initial population values.The results
obtained by changing the initial population size. Number of generated children
and number of iteration were fixed. 


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