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All Journal Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya J@TI (TEKNIK INDUSTRI) Journal of Engineering and Management in Industrial System Jurnal Ilmiah Teknik Industri JURNAL PENGABDIAN KEPADA MASYARAKAT JPSE (Journal of Physical Science and Engineering) Briliant: Jurnal Riset dan Konseptual Knowledge Engineering and Data Science Journal of Research and Technology Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Civil Engineering Dimension JURNAL REKAYASA TEKNOLOGI INFORMASI Reka Buana : Jurnal Ilmiah Teknik Sipil dan Teknik Kimia Industri Inovatif : Jurnal Teknik Industri Jurnal Teknologi Informasi dan Pendidikan Buletin Ilmiah Sarjana Teknik Elektro Matrik : Jurnal Manajemen dan Teknik Industri Produksi Jurnal Pengabdian, Pendidikan dan Teknologi Jurnal Graha Pengabdian Jurnal Pengabdian kepada Masyarakat Nusantara Insyst : Journal of Intelligent System and Computation Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) International Journal of Industrial Engineering and Engineering Management Automotive Experiences PERWIRA - Jurnal Pendidikan Kewirausahaan Indonesia GIAT: Jurnal Teknologi untuk Masyarakat Jurnal Ilmiah Swara MaNajemen (Swara Mahasiswa Manajemen) Jurnal Inovasi Teknologi dan Edukasi Teknik Spektrum Industri
Aisyah Larasati
Universitas Negeri Malang
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The Effect of the Number of Hidden Layers on The Performance of Deep Q-Network for Traveling Salesman Problem Hanif, Benzfica; Larasati, Aisyah; Nurdiansyah, Rudi; Le, Trung
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

The Traveling Salesman Problem (TSP) effectively represents the complex distribution issues encountered by couriers, who must carefully plan a route that includes all customer addresses while minimizing the distance traveled. As the magnitude of deliveries and the range of destinations expand, the courier's responsibility becomes progressively challenging. In this particular context, the objective of our research is to expand the existing knowledge and explore the complete capabilities of Deep Q-Network (DQN) models in order to achieve the most efficient route determination. This endeavor can potentially bring about significant changes in the courier and delivery service sector. The foundation of our unique methodology relies on an empirical inquiry, utilizing a comprehensive dataset including 178 observations obtained from motorcycle-based package delivery agents. Our research is carefully planned and executed using a comprehensive factorial experimental design. This design incorporates three crucial factors: the number of hidden layers, episodes, and epochs. The hidden layer parameter is set to a singular level, while the episode parameter is configured to explore five levels, and the epoch parameter is designed to travel four levels. The evaluation of our DQN models' performance is conducted utilizing the MSE metric as a measure. This assessment is carried out at every iterative cycle, ensuring thorough scrutiny. The central focus of our research centers on the intricate connection between episodes and epochs, and their influence on MSE. The findings of our study reveal that the association between episodes, epochs, and errors is not statistically significant although different level of episodes and epochs produces slightly different level of error.
Co-Authors Abdul Muid Abdul Muid Abdul Rahman, Azrul Abdul Rahman, Soufhwee Adithya Sudiarno Afridasari, Mayang Fikri Agus Rachmad Purnama Ahmad Murtaja Dzaky Ma’arij Aminnudin, Aminnudin Apif M. Hajji Apif Miptahul Hajji Azrul Abdul Rahman Benzfica Hanif Alfi Al Idrus Chen, Yuh-Wen Dewi Hardiningtyas Diva Odilia Shafitri Dwiastuti, Anik Effendi Bin Mohamad Fathullah, Muhammad Fatimatuzzahro, Adelia Fauziah, Taznim Hajji, Apif M. Hanif, Benzfica Hary Suswanto Heru Setiyo Cahyono Heru Suryanto Huang Yue Ihwan Hamdala Imam Alfianto Indra, Sofiandi Dwi Indrawan, Yogi Fradika Ishardita Pambudi Tama Issutarti Issutarti Issutarti Issutarti, Issutarti Ito, Teruaki Jibril Maulana Khaznahar, Vitmaya khusnul khotimah Laili Hidayati Le, Trung Lucia Andriani Pranita Mahsuli, Taufiq Malta R, Viola Maren, Raretha Marsono Marsono Michael P. Lewis Michael P. Lewis Moekti, M. Rhessal Chandra Mohamad Yogi Hertanto Mohamad, Effendi Mohamad, Effendi Bin Muhajir, Muhamad Mu’id, Abdul Nikmatus Sholikha, Nikmatus Nugraha, Cahya Nurdiansyah Rudi Nurismalatri Nurismalatri Oktavia, Andiny Trie Prabawati, Lucky Pramudya, Henang Duta Puji Rahmawati Purnomo Hadi Susilo, Purnomo Hadi Putra, Ryan Syahriel Maulana Putranto, Akhsana Naufal Putro, Dilla Praditya Hutomo Retno Wulandari Rina Rifqie Mariana Rinawan, Rangga Bayu Rizqi Prayoga Editya Rosa Putri Pertiwi Sahal, Ahmad Salsabila, Titalia Trias Santoso, Gilang Aditya Sevira Nallendra Putri Shafa Wulan Ramadhanti Siregar, Ivana Maretha Soufhwee Abdul Rahman Suci Qolbiah supawi pawenang Supawi Pawenang Susanto, Yohana Ruth Wulan Natalia Syah, Yasifun Ardian Syahidah Amaturrosyid Teruaki Ito Titi Mutiara Kiranawati Trias Salsabila, Titalia Tuwoso Vania, Nur Izza Vertic Eridani Vertic Eridani Budi Darmawan Virna Rachma Fitriani Widi Rimastuti Yudistira, Febrina Dzuldah