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All Journal Journal of Engineering and Management in Industrial System Jurnal Tekno Engineering, Mathematics and Computer Science Journal (EMACS)
Pamungkas, Prayoga Yudha
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics

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Journal : Jurnal Tekno

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Forensic-Based Investigation Optimization to Solving Traveling Salesman Problem Pamungkas, Prayoga Yudha; Latifah, Umi; Nafi'ah, Roikhanatun
Jurnal Tekno Vol. 22 No. 1 (2025): JURNAL TEKNO
Publisher : Direktorat Riset dan Pengabdian pada Masyarakat Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/33050y35

Abstract

The FBI Optimization (FBIO) represents one of the most novel metaheuristics which has been experimented with to solve Traveling Salesman Problem (TSP), demonstrating superior performance compared to tradition-al algorithms. Unlike conventional approaches that start with exploration and gradually shift to exploitation, FBIO maintains a dominant exploration phase throughout its iterations. Beginning with 100% exploration and tapering to approximately 90% dominance in exploration by the end of the process, FBIO effectively navigates the solution space, uncovering more promising routes. This exploration-centric approach enables FBIO to achieve solutions that are 8.39% closer to the near-optimal result compared to its counterparts. The algorithm’s enhanced performance in TSP highlights its potential applicability to other combinatorial optimization challenges. By prioritizing exploration, FBIO offers a robust framework for addressing complex prob-lems and ensures a comprehensive search of the solution space. Its ability to deliver high quality near-optimal solutions makes FBIO a valuable tool for future research, presenting new opportunities for solving various optimization problems and advancing practical problem-solving methodologies
Co-Authors Annas, Taufiq Majiid, Muhammad Rizki Nur Nafi'ah, Roikhanatun Setiawan, Karli Eka Setiawan, Nicholas Lorenzo Shabrina, Nadiah Ghina Umi Latifah Zahabiyah, Rifdah