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All Journal Jurnal Teknik Industri TEKNIK Bulletin of Electrical Engineering and Informatics Journal of Engineering and Management in Industrial System International Journal of Advances in Intelligent Informatics Jurnal Ilmiah Teknik Industri Heuristic Teknika: Engineering and Sains Journal Mattawang: Jurnal Pengabdian Masyarakat Jurnal Inovasi Teknologi Manufaktur, Energi dan Otomotif Jurnal Pengabdian Masyarakat Manage
Widodo, Dian Setiya
Universitas 17 Agustus 1945 Surabaya, Jl. Semolowaru No. 45 Surabaya – Jawa Timur, Indonesia
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation

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Journal : Bulletin of Electrical Engineering and Informatics

 1 
A novel hybrid jellyfish algorithm for minimizing fuel consumption capacitated vehicle routing problem Dana Marsetiya Utama; Bahru Widjonarko; Dian Setiya Widodo
Bulletin of Electrical Engineering and Informatics Vol 11, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i3.3263

Abstract

Distribution is a critical activity that must be carefully planned in order to minimize the company's fuel costs. The hybrid jellyfish (HJF) algorithm is proposed in this study to solve the fuel consumption capacity vehicle routing problem (FCCVRP). This problem's objective function is to minimize fuel consumption costs. The proposed HJF algorithm is used in this study to generate optimal fuel consumption through a population and iteration parameter experiment. The experiment results indicate that the HJF increasing parameter has an effect on reducing the total cost of fuel. Additionally, this study presents an algorithm comparison that demonstrates how effectively the proposed HJF algorithm solves FCCVRP.
An energy-efficient flow shop scheduling using hybrid Harris hawks optimization Dana Marsetiya Utama; Dian Setiya Widodo
Bulletin of Electrical Engineering and Informatics Vol 10, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i3.2958

Abstract

The energy crisis has become an environmental problem, and this has received much attention from researchers. The manufacturing sector is the most significant contributor to energy consumption in the world. One of the significant efforts made in the manufacturing industry to reduce energy consumption is through proper scheduling. Energy-efficient scheduling (EES) is a problem in scheduling to reduce energy consumption. One of the EES problems is in a flow shop scheduling problem (FSSP). This article intends to develop a new approach to solving an EES in the FSSP problem. Hybrid Harris hawks optimization (hybrid HHO) algorithm is offered to resolve the EES issue on FSSP by considering the sequence-dependent setup. Swap and flip procedures are suggested to improve HHO performance. Furthermore, several procedures were used as a comparison to assess hybrid HHO performance. Ten tests were exercised to exhibit the hybrid HHO accomplishment. Based on numerical experimental results, hybrid HHO can solve EES problems. Furthermore, HHO was proven more competitive than other algorithms.
Co-Authors Ahmad Jabir Akhyat Nur Ashariyanto Ali, Rohmad Anita Wulandari Bahru Widjonarko Baiq Nurul Izzah Farida Dana Marsetya Utama Danang Setiya Wijaya Eko Siswanto Jabir, Ahmad M. Faisal Ibrahim Mario Sarisky Dwi Ellianto Muhammad Faisal Ibrahim Pongky Lubas Wahyudi Purnomo Budi Santoso Shanty Kusuma Dewi Syaiful Falah Teguh Baroto Totok Dewantoro Ulfa Fitriani Wahyu Kanti Dwi Cahyani Wahyudi, Pongky Wisnu Yulianto Nugroho Yusuf Eko Nurcahyo