Multiobjective collaborative optimization of systems of systems

CIVINS === Concept studies for warship designs typically focus on ship performance characteristics by setting design goals for such things as speed, range, and cost. However, warships generally operate as part of a larger battle or strike group. Therefore, the designs should be evaluated as part o...

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Main Author: Wolf, Robert A.
Other Authors: McCoy, Timothy J.
Published: Cambridge, Massachusetts, Massachusetts Institute of Technology 2013
Online Access:http://hdl.handle.net/10945/37786
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-377862014-11-27T16:19:13Z Multiobjective collaborative optimization of systems of systems Wolf, Robert A. McCoy, Timothy J. deWeck, Olivier Ocean Engineering and Engineering Systems Division CIVINS Concept studies for warship designs typically focus on ship performance characteristics by setting design goals for such things as speed, range, and cost. However, warships generally operate as part of a larger battle or strike group. Therefore, the designs should be evaluated as part of a system of multiple ship systems since designing each ship individually may result in underutilized and excess equipment and capability; in other words an inefficient design of the system of systems. This thesis examines the simultaneous design of several ships using the sea base concept as an example application of a network of ships working together. The number and characteristics of these ships determine the mission performance of the sea base. To properly design any of the sea base ships, the interrelationships must be included. A mission simulation is used to combine the performance characteristics of different ship designs into a singleperformance objective: the time to deliver a brigade size force to its assigned objectives. To enable the design of multiple ships, collaborative optimization, a multilevel optimization approach, was used to decompose the problem into individual ship design optimizations with system level interfaces controlled by a system of systems optimization algorithm. This allowed each ship to use techniques and algorithms best suited to reach an optimal design without impacting the design approaches used used by the other ships. The classical collaborative optimization approach was relaxed to include multiple objectives such as performance and cost, thus developing a range of solutions which represent the tradeoff between these objectives. 2013-11-22T17:54:25Z 2013-11-22T17:54:25Z 2005-06 Thesis http://hdl.handle.net/10945/37786 Approved for public release, distribution unlimited Cambridge, Massachusetts, Massachusetts Institute of Technology
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description CIVINS === Concept studies for warship designs typically focus on ship performance characteristics by setting design goals for such things as speed, range, and cost. However, warships generally operate as part of a larger battle or strike group. Therefore, the designs should be evaluated as part of a system of multiple ship systems since designing each ship individually may result in underutilized and excess equipment and capability; in other words an inefficient design of the system of systems. This thesis examines the simultaneous design of several ships using the sea base concept as an example application of a network of ships working together. The number and characteristics of these ships determine the mission performance of the sea base. To properly design any of the sea base ships, the interrelationships must be included. A mission simulation is used to combine the performance characteristics of different ship designs into a singleperformance objective: the time to deliver a brigade size force to its assigned objectives. To enable the design of multiple ships, collaborative optimization, a multilevel optimization approach, was used to decompose the problem into individual ship design optimizations with system level interfaces controlled by a system of systems optimization algorithm. This allowed each ship to use techniques and algorithms best suited to reach an optimal design without impacting the design approaches used used by the other ships. The classical collaborative optimization approach was relaxed to include multiple objectives such as performance and cost, thus developing a range of solutions which represent the tradeoff between these objectives.
author2 McCoy, Timothy J.
author_facet McCoy, Timothy J.
Wolf, Robert A.
author Wolf, Robert A.
spellingShingle Wolf, Robert A.
Multiobjective collaborative optimization of systems of systems
author_sort Wolf, Robert A.
title Multiobjective collaborative optimization of systems of systems
title_short Multiobjective collaborative optimization of systems of systems
title_full Multiobjective collaborative optimization of systems of systems
title_fullStr Multiobjective collaborative optimization of systems of systems
title_full_unstemmed Multiobjective collaborative optimization of systems of systems
title_sort multiobjective collaborative optimization of systems of systems
publisher Cambridge, Massachusetts, Massachusetts Institute of Technology
publishDate 2013
url http://hdl.handle.net/10945/37786
work_keys_str_mv AT wolfroberta multiobjectivecollaborativeoptimizationofsystemsofsystems
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