Abstract

Both modeling and simulating a system of systems (SoS) are difficult due not only to a changing environment but also the unique behavior that is linked to different participating systems. Generating architectures for a SoS is a multi-objective optimization problem with large number of variables and constraints. The paper presents several of computational intelligence techniques that can generate SoS architectures, such as genetic algorithms (GA), and particle swarm optimization (PSO) combined with Type 2 Fuzzy logic nets. The Maritime search and rescue (SAR) were used as a SoS domain scenario to both implement and demonstrate the architecting methodology. SAR utilizes a variety of systems, including unmanned aerial vehicles (UAV), coordination command control, communication systems and other larger manned vessels. The proposed methodology delivers SoS architects of SAR missions the ability to exploit the interdependence among all systems as well as individual system's inherent characteristics to satisfy stakeholders' desired attributes. The architect is thus able to design architectures that are robust, efficient, net-centric, and affordable.

Department(s)

Engineering Management and Systems Engineering

Publication Status

Open Access

Comments

U.S. Department of Defense, Grant H98230-08-D-0171

Keywords and Phrases

Architecture; Fuzzy logic; Genetic algorithms; Multi-objective; Particle swarm; Systems of systems

International Standard Serial Number (ISSN)

1877-0509

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2024 Elsevier, All rights reserved.

Creative Commons Licensing

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Publication Date

01 Jan 2014

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