A computer based application of non-linear multiple objective optimization |
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Authors: | Aaron R. DeWispelare |
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Affiliation: | Air Force Institute of Technology, Department of Aeronautics and Astronautics (AFIT/ENY), Wright-Patterson AFB, OH 45433, U.S.A. |
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Abstract: | Multiple Objective Optimization Theory (MOOT) techniques are receiving increasing attention due to their ability to incorporate salient non-commensurate and conflicting objectives of a situation into the choice making process. This effort describes the modeling and optimization of an application which utilizes computer aided MOOT for candidate policy evaluation prior to a production process. The specific application discussed is an airborne tactical missile where the pre-production decision depends on such attributes as reliability, cost, technical performance, and survivability. A modeling and analysis effort produced non-linear performance indicers of the aforementioned attributes, and a set of constraints. This vector optimization problem is solved by implementing a constraint optimization technique on a digital computer. The resulting non-dominated solution set provides the information needed to proceed to a production stage. |
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