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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Proceedings of KNASTIK TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Seminar Nasional Teknologi Informasi Komunikasi dan Industri JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ILKOM Jurnal Ilmiah SISFO International Journal of Social Science and Business Data Science: Journal of Computing and Applied Informatics ILKOMNIKA: Journal of Computer Science and Applied Informatics Sewagati Jurnal Teknik Elektro dan Komputer Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika
Ahmad Muklason
Institut Teknologi Sepuluh Nopember
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Journal : International Journal of Electrical and Computer Engineering

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Hybrid iterated local search algorithm for optimization route of airplane travel plans Ahmad Muklason; I Gusti Agung Premananda
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i4.pp4700-4707

Abstract

The traveling salesman problem (TSP) is a very popular combinatorics problem. This problem has been widely applied to various real problems. The TSP problem has been classified as a Non-deterministic Polynomial Hard (NP-Hard), so a non-deterministic algorithm is needed to solve this problem. However, a non-deterministic algorithm can only produce a fairly good solution but does not guarantee an optimal solution. Therefore, there are still opportunities to develop new algorithms with better optimization results. This research develops a new algorithm by hybridizing three local search algorithms, namely, iterated local search (ILS) with simulated annealing (SA) and hill climbing (HC), to get a better optimization result. This algorithm aimed to solve TSP problems in the transportation sector, using a case study from the Traveling Salesman Challenge 2.0 (TSC 2.0). The test results show that the developed algorithm can optimize better by 15.7% on average and 11.4% based on the best results compared to previous studies using the Tabu-SA algorithm.
Co-Authors Adi Suryani, Adi Aelisa Nailin Nabila Agung Premananda, I Gusti Ahlan Robbani, Shof Rijal Ahsanul Marom Alda Muhammad Sulaiman Amalia Utamima Amalinda Jayanty Anang Firdaus Angelita Depari, Helena Arif Djunaidy Arif Nuriman, Muhammad Athiyatul Ulya Berto Mulia Wibawa Diaz Perdana Emral Hakim Endarko Endarko Eskalalita, Eskalalita Fabroyir, Hadziq Faizal Mahananto Fajar Kurnia Malays Feby Artwodini Muqtadiroh Grandys Frieska Prassida Hanif Mitsal Mahatta Hardhika Propitadewa I Gusti Agung Premananda I Gusti Agung Premananda Indraswari, Rarasmaya Ita Ulfin Jeremy Diaz Prasetyo Jihaan Harvi Habibah Lailatul Qadariyah Laura Wilhelmina Theresia M. Fiqri Ananda Mashuri Mashuri Mochamad Zidan Aqila Kamil Muhammad Ali Fikri Muhammad Aliffiro Naufal Muhammad Arif Nuriman Muhammad Daffa Maulana Muhammad Hisyam Muhammad Reza Pahlawan Naufal Rafiawan Basara Nazriyah Deni Tsaniyah Nur Aini Rakhmawati Nur Khofifah Nur Laila Nur Nindya Risnina Premananda, I Gusti Agung Putri, Malfa Liya Rahadiantino, Lienggar Rahma Fauzia Rahmawati, Deti Rahmawati, Deti Raras Tyas Nurita Raras Tyasnurita Retno A. Vinarti Retno Aulia Vinarti Riksakomara, Edwin Rizal Risnanda Hutama Septica Tiara Indah Permatasari Setiawan Setiyo Gunawan Soedarso Soedarso Soedarso Soedarso Soedarso, Soedarso Supoyo, Vicha Azthanty Sutikno Tendio, Yusnardo Tri Achmadi Tsani Nahdliyah Vicha Azthanty Supoyo Wiwik Anggraeni Wiwik Anggraeni