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Title: System of systems architecture generation and evaluation using evolutionary algorithms
Author (s): Simpson, Joseph J.
Dagli, Cihan H.
Department/Lab Affiliations: Engineering Management & Systems Engineering
Keywords: Computational intelligence
evolutionary algorithms
system
system of systems
Issue Date: 2008-04
Publisher: Institute of Electrical and Electronics Engineers IEEE
Citation: Simpson, Joseph J., and Dagli, Cihan H. "System of Systems Architecture Generation and Evaluation Using Evolutionary Algorithms." 2nd Annual IEEE Systems Conference 2008.
Abstract: Evolutionary algorithms and computational intelligence represent a developing technology and science that provides great potential in the area of system and system-of-systems architecture generation, categorization and evaluation. Classical system engineering analysis techniques have been used to represent a system architecture in a manner that is compatible with evolutionary algorithms and computational intelligence techniques. This paper focuses on specific system relationship configurations and attributes that are required to successfully aggregate the best-fit function in a fuzzy associative memory that is used in an evolutionary algorithm to generate and evaluate system architectures.
Type: Article - Conference proceedings
text
In Title: 2nd Annual IEEE Systems Conference 2008
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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Publisher URL:
http://dx.doi.org/10.1109/SYSTEMS.2008.4518989
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titleSystem of systems architecture generation and evaluation using evolutionary algorithms
contributor.authorSimpson, Joseph J.
contributor.authorDagli, Cihan H.
contributor.deptlabEngineering Management & Systems Engineering
subjectComputational intelligence
subjectevolutionary algorithms
subjectsystem
subjectsystem of systems
date.issued2008-04
publisherInstitute of Electrical and Electronics Engineers IEEE
identifier.citationSimpson, Joseph J., and Dagli, Cihan H. "System of Systems Architecture Generation and Evaluation Using Evolutionary Algorithms." 2nd Annual IEEE Systems Conference 2008.
identifier.pub.URI
http://dx.doi.org/10.1109/SYSTEMS.2008.4518989
description.abstractEvolutionary algorithms and computational intelligence represent a developing technology and science that provides great potential in the area of system and system-of-systems architecture generation, categorization and evaluation. Classical system engineering analysis techniques have been used to represent a system architecture in a manner that is compatible with evolutionary algorithms and computational intelligence techniques. This paper focuses on specific system relationship configurations and attributes that are required to successfully aggregate the best-fit function in a fuzzy associative memory that is used in an evolutionary algorithm to generate and evaluate system architectures.
typeArticle - Conference proceedings
type.DCMITypetext
type.statusFinal version
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rightsallows publisher's final version to be uploaded
rights.URI
http://www.ieee.org/portal/cms_docs_iportals/iportals/publications/rights/downloads/IEEECForm121302pdf.pdf
rights.URI
http://www.ieee.org/web/publications/rights/index.html
rights.URI
http://www.ieee.org/web/publications/rights/policies.html
relation.isPartOf2nd Annual IEEE Systems Conference 2008
date.accessioned2008-07-11T18:59:10Z
date.available2008-07-21T20:46:02Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/SystemofSystemsArchitectureGenerationandEvalu_09007dcc80532bc2.html
Full Text
SystemofSystemsArchitectureGenerationandEvalu_09007dcc80532c0f.pdf