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Multiple‐Objective Optimization in Naval Ship Design

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This paper presents an optimization methodology that includes three important components necessary for a systematic approach to naval ship concept design. These are: ▪ An efficient and effective search of design space for non‐dominated designs▪ Well‐defined and quantitative measures of objective attributes▪ An effective format to describe the design space and to present non‐dominated concepts for rational selection by the customer.

A Multiple‐Objective Genetic Optimization (MOGO) is used to search design parameter space and identify non‐dominated design concepts based on life cycle cost and mission effectiveness. A non‐dominated frontier and selected generations of feasible designs are used to present results to the customer for selection of preferred alternatives. A naval ship design application is presented.

Document Type: Research Article

Publication date: October 1, 2003

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  • The Naval Engineers Journal is the peer-reviewed journal of the American Society of Naval Engineers (ASNE). ASNE is the leading professional engineering society for engineers, scientists and allied professionals who conceive, design, develop, test, construct, outfit, operate and maintain complex naval and maritime ships, submarines and aircraft and their associated systems and subsystems.
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