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All Journal Journal on Education Jurnal Pendidikan Matematika (Jupitek) Jurnal Review Pendidikan dan Pengajaran (JRPP) Mudir : Jurnal Manajemen Pendidikan Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam JIIP (Jurnal Ilmiah Ilmu Pendidikan) Widya Accarya Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Mosharafa: Jurnal Pendidikan Matematika Intersections: Jurnal Pendidikan matematika dan matematika Plusminus: Jurnal Pendidikan Matematika PROFICIO: Jurnal Pengabdian Masyarakat Indo-MathEdu Intellectuals Journal COVIT Jurnal Abdimas Musi Charitas Jurnal Sosial dan Sains Journal of Information System, Technology and Engineering Kurnia Mengabdi (jurnal Pengabdian Kepada Masyarakat) Konstruktivisme : Jurnal Pendidikan dan Pembelajaran Gemi: Jurnal Penelitian dan Pengabdian
Yenny Anggreini Sarumaha
Universitas Cokroaminoto Yogyakarta
Religion Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Journal of Information System, Technology and Engineering

 1 
The Application of Artificial Bee Colony Algorithm to Optimizing Vehicle Routes Problem Yenny Anggreini Sarumaha; Dede Ridho Firdaus; Irwan Moridu
Journal of Information System, Technology and Engineering Vol. 1 No. 1 (2023): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v1i1.9

Abstract

The problem of vehicle routing with capacity is a combinatorial optimization problem that is included in the NP-Hard category. In this article, we suggest an artificial bee colony algorithm, which is a technique inspired by the clever behavior of bees in searching for food sources. To achieve the best outcomes, the artificial bee colony algorithm will be developed in conjunction with other algorithms. To determine how well the artificial bee colony method handles the issue of optimizing vehicle routes with capacity, eight distinct benchmark problems will be completed and then contrasted with other algorithms. The output of this research is a matrix showing the sequence of vehicle routes formed.
Co-Authors Achmad Sutanto Aji Permana Putra Akhmad Ramli Al Ikhlas Aldi Setiawan, Aldi Anas Andi Muh Akbar Saputra Anyan Anyan Ayu Kurniasih Ayu Kurniasih, Ayu Baso Intang Sappaile Burhayani Burhayani Cundra Bahar Dede Ridho Firdaus Desfanti Meliana Isti Dian Khairiani Djoko Widagdo Enny Zarvianti Evitri Setiyaningsih Fathor Rakhman Faza Fatimatuzzahro Hetty Elfina Hofifah, Realita Torikotul Ika Septi Hidayati Ilham Rizkianto Irwan Moridu Jihan Azizah Joni Wilson Sitopu Khairiani, Dian Khasanah, Nur Dina Meylaila Khobir, Khoirul Melinda Puspita Sari Jaya Miftahus Surur MS Victor Purhanudin Nofirman, Nofirman Noviyanti, Anita Nur Dina Meylaila Khasanah Nur Dina Meylaila Khasanah Nurma Sari, Nurma Nurmadina HS Padilah Padilah Paulus Haniko Prastyadi Wibawa Rahayu Pratama, Rikki Prihastini Oktasari Putri Qoirina Nur Azizah Rahmawati Nurlitaningsih Ratu Ilma Indra Putri Rendi Hadian A. Tamagola Rina Febriana Saputri, Witriani Oka Dwi Satria, Erwinsyah Singgih Prastawa Siti Nuridah Suyuti Suyuti Syahril Hasan Sylvianie, Lulu Tri Yunita Sari Trisna Rukhmana Wulan Anna Pertiwi Yohana Marice Inda Yusuf Hartono