(deposit) Implementation Of Travelling Salesman Problem (Tsp) With Genetic Algorithm Using Leaflet Map (Case Study Of PT. AMZ Geoinfo Solution Surabaya)

Danella, Kusuma Pitaloka (2022) (deposit) Implementation Of Travelling Salesman Problem (Tsp) With Genetic Algorithm Using Leaflet Map (Case Study Of PT. AMZ Geoinfo Solution Surabaya). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Abstract

Traveling Salesman Problem (TSP) is a problem that quite long enough in the optimization world. In this problem, for example there is a starting city and a number of N cities for the salesman to visit. A salesman is required to start a journey from the initial city to all cities that must be visited exactly once. The purpose of this problem is to minimize the total distance traveled by the salesman by arranging the sequence of cities that must be visited, so as to save the salesman's travel costs. Based on these considerations, the authors provide an optimization solution with the Genetic Algorithm Method in the business process of salespeople at PT. AMZ Geoinfo Solutions. With this Genetic Algorithm Method, each salesperson can visit a number of cities in Indonesia and return to their hometown with the most efficient (short) distance/route.

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