Computer Sciences

Permanent URI for this collectionhttps://repository.aab-edu.net/handle/123456789/58

The Computer Sciences community showcases scholarly publications and research outputs authored by faculty and researchers in the Faculty of Computer Sciences. This collection includes journal articles, working papers, conference proceedings, and other academic works that contribute to the understanding of theory, policy, and practice. It aims to promote open access to high-quality economic research conducted within the institution.

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Author: search.filters.author.Helshani, LaurikSubject: search.filters.subject.Google Services

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    Solving the Traveling Salesman Problem using Google Services and Simulated Annealing Algorithm
    (AAB College, 2025-07-15) Helshani, Laurik
    The concept of the traveling salesman problem is to seeking a tour of a specified number of cities (visiting each city exactly once and returning to the starting point) where the length of the tour is minimized. The mathematical modeling of this problem has to do with the theory of graphs. In this paper, I examine simulated annealing algorithm in the context of solving the traveling salesman problem. Test-tool programming is done in JAVA programming language and his work is displayed graphically using the 2D library. The whole system is programmed as client-server system using RESTFul web services, Google-services and Simulated Annealing Algorithm. Google services are used to determine the optimum route on Google map and solve the Travelling Salesman problem.
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    An Android Application to solve the shortest path problem using Google Services and Dijkstra's Algorithm
    (AAB College, 2025-07-15) Helshani, Laurik
    In this paper, I examine Dijkstra’s algorithm in the context of solving the shortest path problem. The mathematical modeling of this problem has to do with the theory of graphs. The whole system is programmed as client system using Google Services and Android OS. Google Services are used to determine the optimum path on Google map and solve the shortest path problem as alternative of Dijkstra's Algorithm.

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