Show simple item record

Multicriterion evolutionary optimization of ship hull forms for propulsion and seakeeping.

dc.contributor.authorZalek, Steven Francis
dc.contributor.advisorBeck, Robert F.
dc.contributor.advisorParsons, Michael G.
dc.date.accessioned2016-08-30T16:16:57Z
dc.date.available2016-08-30T16:16:57Z
dc.date.issued2007
dc.identifier.urihttp://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:3253442
dc.identifier.urihttps://hdl.handle.net/2027.42/126602
dc.description.abstractFor a given set of ship design and operational criteria, there exists a trade-off between the ship's calm water powering performance and its seakeeping performance. Ship hulls that are designed for optimal powering performance can have poor sea keeping performance, and vice versa. It is typically not possible to obtain the global optimal objective for both of these objectives due to the competition between the powering and seakeeping performance functions and the design constraints. The set of globally nondominated solutions, or Pareto front, considering these competing criteria is searched for by navigating the multi-modal search space for these criteria using a multicriterion, population-based evolutionary algorithm optimization process. The optimization process uses a nontraditional objective function formulation that eliminates the need to tune the penalty function parameters for each new problem formulation and appears to provide a more thorough representation of the numerically approximated Pareto front. Results show that properly integrating this optimization process with the design criteria yields a set of hydrodynamically superior design solutions. The problem formulation and development is applicable to naval surface vessels and applied to a monohull frigate type example.* *This dissertation is a compound document (contains both a paper copy and a CD as part of the dissertation). The CD requires the following system requirements: Adobe Acrobat.
dc.format.extent194 p.
dc.languageEnglish
dc.language.isoEN
dc.subjectEvolutionary
dc.subjectForms
dc.subjectMulticriterion
dc.subjectOptimization
dc.subjectPropulsion
dc.subjectSeakeeping
dc.subjectShip Hull
dc.titleMulticriterion evolutionary optimization of ship hull forms for propulsion and seakeeping.
dc.typeThesis
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineApplied Sciences
dc.description.thesisdegreedisciplineOcean engineering
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studies
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/126602/2/3253442.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.