Applications of Optimization in Early Stage Ship Design

Authors

  • Michael G. Parsons

Keywords:

ship design, multicriterion optimization, genetic algorithms, evolutionary algorithms, agent methods, fuzzy optimization

Abstract

Recent research at the University of Michigan developing and applying modern optimization methods to early ship design decision making is reviewed. These examples illustrate the use of fuzzy logic, genetic and evolutionary algorithms, and agent methods to solve complex multicriterion ship design problems. The first application optimizes an early stage hull form for both smooth water powering and seakeeping performance using an advanced evolutionary algorithm taking into consideration the change of vessel weight with the hull form variation. The second application supports the optimization of naval ship general arrangements using a new hybrid agent-genetic algorithm method and stochastic generation algorithm. The final example uses an evolutionary algorithm to establish the optimal commonality to use in two ship classes that are to share components and features in order to save overall fleet costs. These show how these advanced ship design methods can be used to aid early ship design decisions.

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References

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How to Cite

Parsons, M. G. (2009). Applications of Optimization in Early Stage Ship Design. Ciencia Y tecnología De Buques, 3(5), 9–32. Retrieved from https://shipjournal.co/index.php/sst/article/view/28

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Section

Scientific and Technological Research Articles
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