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The purpose of this paper was to investigate in practice the possibility of using evolutionary algorithms to solve the traveling salesman problem on a real example. The goal was achieved by developing an original implementation of the evolutionary algorithm in Python, and by preparing an example of the traveling salesman problem in the form of a directed graph representing Polish voivodship cities...
Niniejsza praca prezentuje sposób wykorzystannia algorytmu genetycznego do optymalizacji zadania komiwojażera. Przedstawiono przebieg optymalizacji tego zadania zarówno dla punktów rozmieszczonych równomiernie (wzdłuż krzywej w kształcie "rogala"), jak i rozmieszczonych losowo na płaszczyxnie. Ponadto, w zarysie pzredstawiono wykorzystanie sposobu rozwiązania zadania komiwojażera do wyznaczania...
Many problems that are treated by genetic algorithms (GA) belong to the class of NP-complete problems. GA are frequently faced with a problem similar to that of stagnating in a local but not global solution. This drawback, called premature convergence, occurs when the population of a GA reaches such a suboptimal state that the genetic operators can no longer produce offspring that outperforms their...
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