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COMPARISON ANALYSIS OF LOCAL SEARCHES FOR SOLVING SYMMETRIC TRAVELLING SALESMAN PROBLEM

SAPUTRA, HIRO SURYA (2024) COMPARISON ANALYSIS OF LOCAL SEARCHES FOR SOLVING SYMMETRIC TRAVELLING SALESMAN PROBLEM. S1 thesis, UNIVERSITAS KATOLIK SOEGIJAPRANATA.

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18.K1.0039_HIRO SURYA SAPUTRA_COVER_1.pdf

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18.K1.0039_HIRO SURYA SAPUTRA_BAB I_1.pdf
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18.K1.0039_HIRO SURYA SAPUTRA_BAB II_1.pdf
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18.K1.0039_HIRO SURYA SAPUTRA_BAB III_1.pdf
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18.K1.0039_HIRO SURYA SAPUTRA_BAB IV.pdf
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18.K1.0039_HIRO SURYA SAPUTRA_BAB V.pdf
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18.K1.0039_HIRO SURYA SAPUTRA_DAFPUS.pdf

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Abstract

This project serves as the alternative to brute force method and neural network. In this paper we are using two local searches, the “Nearest Vertice” and “Tree Upcycling, Christofides” algorithm. We implement both of them for comparison analysis. The control for this thesis is Gurobipy optimizer. Both algorithms will be compared to each other. We use total distance and runtime comparison. After that we take the next step to compare optimized version of both algorithms. After those several comparison analyses was conducted, we conclude the results in the end.

Item Type: Thesis (S1)
Subjects: 000 Computer Science, Information and General Works > 004 Data processing & computer science
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: ms. Wiwien Vieragustin
Date Deposited: 10 Jul 2025 07:46
Last Modified: 10 Jul 2025 07:46
URI: http://repository.unika.ac.id/id/eprint/37120
Keywords: UNSPECIFIED

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