GA Utilizing Efficient Operators in TSP

Through the data collected in the above two pages, it can be reasonably be concluded that center inverse mutation in unison with the inversely linear roulette wheel selection and the random crossover point yield the best result with a higher number of generations. We decided to test a combination of all of these genetic operators and see the value of the lowest path yielded by it. The same input graph used for the other tests was used in this case with 6000 chromosomes in the initial population and 5000 generations with a cutoff percentage of 30%

The results are as follows of the top path after 5000 generations:
Weight = 238
Path: {A, X, C, P, S, G, E, U, Q, Y, B, V, N, T, W, I, F, H, Z, O, D, R, M, L, K, J, A}

Graph (with all edges and weights present):Graph


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