Multiple-objective optimization in naval ship design

Abstract

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.