Optimization of warp-chine pentamaran configuration using Artificial Neural Network and Genetic Algorithm

Yanuar, Pandu Apriyanto, Indra Wibisono, Wiwin Sulistyawati

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication5th International Tropical Renewable Energy Conference, i-TREC 2020
EditorsRidho Irwansyah, Muhammad Arif Budiyanto
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735441286
DOIs
Publication statusPublished - 23 Sep 2021
Event5th International Tropical Renewable Energy Conference, i-TREC 2020 - Depok, Indonesia
Duration: 29 Oct 202030 Oct 2020

Publication series

NameAIP Conference Proceedings
Volume2376
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference5th International Tropical Renewable Energy Conference, i-TREC 2020
Country/TerritoryIndonesia
CityDepok
Period29/10/2030/10/20

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