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ISSN: 1941-7039 (Online)
Research Article Open Access

The Use of Genetic Optimization for Design of Small Diesel-Battery Submarine

Wisnu Wardhana1 and Meitha Soetardjo2
  • 1 Institut Teknologi Sepuluh Nopember, Indonesia
  • 2 Indonesia Hydrodynamic Laboratory, Indonesia

Abstract

Design of a Small Diesel-Battery Submarine (SDBS) has been carried out using Multi-Objectives Genetic Algorithm optimization combined with Analytical Hierarchy Process to meet the operation requirements. The objective attributes for this optimization are cost and effectiveness. The product of this optimization is a series of cost-effectiveness frontiers in the scattered graph which are used to select alternative designs based on the Indonesian Navy's preference. It is found that the Length of the submarine is 28 m with Diameter 4 m. The sprint power of 20 knots determines the motor power while the endurance power of 5 knots determines the battery capacity.

American Journal of Engineering and Applied Sciences
Volume 10 No. 1, 2017, 108-113

DOI: https://doi.org/10.3844/ajeassp.2017.108.113

Submitted On: 12 November 2016 Published On: 18 February 2017

How to Cite: Wardhana, W. & Soetardjo, M. (2017). The Use of Genetic Optimization for Design of Small Diesel-Battery Submarine. American Journal of Engineering and Applied Sciences, 10(1), 108-113. https://doi.org/10.3844/ajeassp.2017.108.113

Open AccessCopyright: © 2017 Wisnu Wardhana and Meitha Soetardjo. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Submarine
  • Diesel-Battery
  • Genetic Algorithm
  • Effectiveness
  • Cost