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Offshore Technology

Multi-Objective Optimization Design of Tanker Ships via a Genetic Algorithm

[+] Author and Article Information
Marcelo Ramos Martins1

Department of Naval Architecture and Ocean Engineering, University of São Paulo, Av. Prof. Mello Moraes, 2231, São Paulo 05508-030, Brazilmrmartin@usp.br

Diego F. Sarzosa Burgos

Department of Naval Architecture and Ocean Engineering, University of São Paulo, Av. Prof. Mello Moraes, 2231, São Paulo 05508-030, Brazil

http://www.hellespont.com.

1

Corresponding author.

J. Offshore Mech. Arct. Eng 133(4), 041303 (Apr 08, 2011) (12 pages) doi:10.1115/1.4002740 History: Received January 23, 2009; Revised September 15, 2010; Published April 08, 2011; Online April 08, 2011

The cost of a new ship design heavily depends on the principal dimensions of the ship; however, dimensions minimization often conflicts with the minimum oil outflow (in the event of an accidental spill). This study demonstrates one rational methodology for selecting the optimal dimensions and coefficients of form of tankers via the use of a genetic algorithm. Therein, a multi-objective optimization problem was formulated by using two objective attributes in the evaluation of each design, specifically, total cost and mean oil outflow. In addition, a procedure that can be used to balance the designs in terms of weight and useful space is proposed. A genetic algorithm was implemented to search for optimal design parameters and to identify the nondominated Pareto frontier. At the end of this study, three real ships are used as case studies.

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Copyright © 2011 by American Society of Mechanical Engineers
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Figures

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Figure 2

Basic operations performed in GAs

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Figure 1

Ship synthesis model

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Figure 3

Optimized results using the PATANGA for the Suezmax-type ship case

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Figure 4

Optimized results using the PATANGA for the Aframax case

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Figure 5

The optimized results using the PATANGA for the Panamax-type vessel

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