Siyasi Parti Mitinglerinin Gezgin Satıcı Problemi Yaklaşımı ile Analizi

Son yıllarda karmaşık optimizasyon ve araştırma problemlerinde doğal seçim sürecine dayalı evrim stratejileri kullanılmaktadır. Bu çalışmada evrim stratejileri kapsamındaki genetik algoritmalar konusunun temel bilgileri anlatılmıştır ve genetik algoritmalar yardımı ile Gezgin Satıcı Problemi ele alınmıştır. Gezgin satıcı problemi verilen birbirine bağlı şehir, düğüm vb. gibi noktalara ulaşımı ve başlangıç noktasına geri dönüşü ele alan kısıtlı en çok bilinen optimizasyon yöntemlerinden biridir. Gezgin satıcı problemlerine örnek oluşturabilecek siyasi partilerin mitinglerinin optimal şekilde planlaması amacıyla Travelling Salesman Problem TSP programı kullanılarak miting planlama analizi yapılmıştır. Analiz sonuçları ile elde edilebilecek maliyet ve zaman tasarrufundan bahsedilmiştir.

The Analysis of Political Parties' Public Meetings with Travelling Salesman Problem Approach

In recent years, solutions is sought by evolution strategies based on natural selection for complex optimization and research problems. This study discusses the basics of the topics genetic algorithm covered in the evolution strategies and Travelling Salesman Problem are tackled with the help of genetic algorithm. Traveling Salesman Problem handling of the connected point such as city, node and so on. transport and return to the starting point, is one of the most well-known restricted optimization methods. The public meeting planning could be an example of travelling salesman problem is analysed for optimality by using Travelling Salesman Problem TSP program. Analysis results is mentioned with cost and time savings can be obtained

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