@inproceedings{a04d0a996dba41909f7789d02d09c6cb,
title = "Optimization of warp-chine pentamaran configuration using Artificial Neural Network and Genetic Algorithm",
abstract = "This study aims to find the optimal pentamaran configuration to reduce wave resistance and total resistance at various speeds. We evaluate the outrigger distance with a fixed warp-chine hull shape to obtain an optimum pentamaran configuration. Artificial Neural Network (ANN) is adopted to generate a model from the collected data, while the multi-objective optimization is done using Genetic Algorithms (GA). ANN model delivers accurate prediction of resistance with an error of 0.24%. The results show wave resistance and total resistance are reduced by 1.47% and 4.06% for the Froude number greater than 0.4. ",
author = "Yanuar and Pandu Apriyanto and Indra Wibisono and Wiwin Sulistyawati",
note = "Funding Information: This research is funded by Directorate of Research and Community Services (DRPM) Universitas Indonesia under grant PUTI Proceeding No. NKB-1098/UN2.RST/HKP.05.00/2020. Publisher Copyright: {\textcopyright} 2021 Author(s).; 5th International Tropical Renewable Energy Conference, i-TREC 2020 ; Conference date: 29-10-2020 Through 30-10-2020",
year = "2021",
month = sep,
day = "23",
doi = "10.1063/5.0065028",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Ridho Irwansyah and Budiyanto, {Muhammad Arif}",
booktitle = "5th International Tropical Renewable Energy Conference, i-TREC 2020",
address = "United States",
}