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

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Keywords

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