The Use of Genetic Optimization for Design of Small Diesel-Battery Submarine
- 1 Institut Teknologi Sepuluh Nopember, Indonesia
- 2 Indonesia Hydrodynamic Laboratory, Indonesia
Copyright: © 2020 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.
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.
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- Genetic Algorithm