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Computational Intelligence Based Complex Adaptive System-of-System Architecture Evolution Strategy

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Complex Systems Design & Management

Abstract

There is a constant challenge to incorporate new systems and upgrade existing systems under threats, constrained budget and uncertainty into systems of systems (SoS). It is necessary for program managers to be able to assess the impacts of future technology and stakeholder changes. This research helps analyze sequential decisions in an evolving SoS architecture through three key features: SoS architecture generation, assessment and implementation through negotiation. Architectures are generated using evolutionary algorithms and assessed using type II fuzzy nets. The approach accommodates diverse stakeholder views, converting them to key performance parameters (KPPs) for architecture assessment. It is not possible to implement an acknowledged SoS architecture without persuading the systems to participate. A negotiation model is proposed to help the SoS manger adapt his strategy based on system owners’ behavior. Viewpoints of multiple stakeholders are aggregated to assess the overall mission effectiveness of an architecture against the overarching objectives. A search and rescue (SAR) example illustrates application of the method. Future research might include group decision making for evaluating architectures.

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Acknowledgment

This material is based upon work supported, in whole or in part, by the U.S. Department of Defense through the Systems Engineering Research Center (SERC) under Contract H98230-08-D-0171. SERC is a federally funded University Affiliated Research Center managed by Stevens Institute of Technology. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the United States Department of Defense.

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Authors and Affiliations

  1. Missouri University of Science and Technology, Rolla, MO, 65409, USA

    Siddhartha Agarwal, Cihan H. Dagli & Louis E. Pape II

Authors
  1. Siddhartha Agarwal
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  2. Cihan H. Dagli
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  3. Louis E. Pape II
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Corresponding author

Correspondence to Siddhartha Agarwal .

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Editors and Affiliations

  1. Airbus Defense & Space, Les Mureaux, France

    GĂ©rard Auvray

  2. ECP Grande Voie Des Vignes, Chatenay-Malabry, France

    Jean-Claude Bocquet

  3. Université de Lorraine, Nancy, France

    Eric Bonjour

  4. CESAMES, Paris, France

    Daniel Krob

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Agarwal, S., Dagli, C.H., Pape, L.E. (2016). Computational Intelligence Based Complex Adaptive System-of-System Architecture Evolution Strategy. In: Auvray, G., Bocquet, JC., Bonjour, E., Krob, D. (eds) Complex Systems Design & Management. Springer, Cham. https://doi.org/10.1007/978-3-319-26109-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-26109-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26107-2

  • Online ISBN: 978-3-319-26109-6

  • eBook Packages: EngineeringEngineering (R0)

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