Route Planning Using Genetic Algorithm

Image Source: The paper named Order of Emergency Orders in a Company of Distribution of Electrical Energy
Figure has been taken from https://medium.com/geekculture/introduction-to-genetic-algorithm-d417119040b7
From the figure, it can be seen here that, for one depot, the initial km is 8.000 km and after 60000 iterations, the final distance is 1.400 km. The percentage of improvement is %80. And it can be deduced that the acceleration of improvement is slowing down when the generation number is increasing.
X1 and X2 are parameters and the outcomes are changing when x1 and x2 values differ. So, the aim here is to try values in a given range per parameter to be able to find the best combination of values. Image source: https://en.wikipedia.org/wiki/Hyperparameter_optimization

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Most Teknoloji, Yıldız Holding Bünyesinde Faaliyet Göstermekte Olup, 13 Ülkedeki 80 Üretim Tesisine Ve Yaklaşık 7000 Perakende Noktasına Hizmet Vermektedir.