Skip to main content
SpringerLink
Log in

Optimal Design Synthesis of Component-Based Systems Using Intelligent Techniques

  • Chapter
Do Smart Adaptive Systems Exist?

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 173))

  • 606 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Angelov P P, Zhang Y, Wright J A, Buswell R A, Hanby V I (2003) Automatic Design Synthesis and Optimization of Component-based Systems by Evolutionary Algorithms, In: Lecture Notes in Computer Science 2724 Genetic and Evolutionary Computation (E. Cantu-Paz et al. Eds.): Springer-Verlag, pp. 1938–1950.

    Google Scholar 

  2. Angelov P P, Hanby V I, Wright J A (1999) An Automatic Generator of HVAC Secondary Systems Configurations, Technical Report, Loughborough University, UK.

    Google Scholar 

  3. Michalewicz Z (1996) Genetic Algorithms + Data Structures = Evolution Programs. 3rd edn. Springer-Verlag, Berlin Heidelberg New York.

    MATH  Google Scholar 

  4. Blast (1992) Blast 3.0 User Manual, Urbana-Champaign, Illinois, Blast Support Office, Department of Machine and Industrial Engineering, University of Illinois.

    Google Scholar 

  5. York D A, Cappiello C C (1981) DOE-2 Engineers manual (Version 2.1.A), Lawrence Berkeley Laboratory and Los Alamos National Lab., LBL-11353 and LA-8520-M.

    Google Scholar 

  6. Park C, Clarke D R, Kelly G E (1985) An Overview of HVACSIM+, a Dynamic Building/HVAC/Control System Simulation Program, In: 1st Ann. Build Energy Sim Conf, Seattle, WA.

    Google Scholar 

  7. Klein S A, Beckman W A, Duffie J A (1976) TRNSYS — a Transient Simulation Program, ASHRAE Trans 82, Pt. 2.

    Google Scholar 

  8. Sahlin P (1991) IDA — a Modelling and Simulation Environment for Building Applications, Swedish Institute of Applied Mathematics, ITH Report No 1991:2.

    Google Scholar 

  9. Wright J A, Hanby V I (1987) The Formulation, Characteristics, and Solution of HVAC System Optimised Design Problems, ASHRAE Trans 93, pt. 2.

    Google Scholar 

  10. Hanby V I, Wright J A (1989) HVAC Optimisation Studies: Component Modelling Methodology, Building Services Engineering Research and Technology, 10(1): 35–39.

    Article  Google Scholar 

  11. Sowell E F, Taghavi K, Levy H, Low D W (1984) Generation of Building Energy Management System Models, ASHRAE Trans 90, pt. 1: 573–586.

    Google Scholar 

  12. Volkov A (2001) Automated Design of Branched Duct Networks of Ventilated and air-conditioning Systems, In: Proc. of the CLIMA 2000 Conference, Napoli, Italy, September 15–18, 2001.

    Google Scholar 

  13. Bentley P J (2000) Evolutionary Design by Computers, John Willey Ltd., London.

    Google Scholar 

  14. Runarsson T P, Yao X (2000) Stochastic Ranking for Constrained Evolutionary Optimisation, IEEE Transactions on Evolutionary Computation, 4(3): 284–294.

    Article  Google Scholar 

  15. Angelov P (1994) A Generalized Approach to Fuzzy Optimization, International Journal of Intelligent Systems, 9(4): 261–268.

    MATH  Google Scholar 

  16. Filev D, Angelov P (1992) Fuzzy Optimal Control, Fuzzy Sets and Systems, v. 47(2): 151–156.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept of Communication Systems, University of Lancaster, Lancaster, Lancashire, LA1 4YR, UK

    P. P. Angelov

  2. Dept of Civil and Building Engineering, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK

    Y. Zhang & J. A. Wright

Authors
  1. P. P. Angelov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Y. Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. J. A. Wright
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Design, Engineering & Computing, Bournemouth University, Poole House, Talbot Campus, Fern Barrow, Poole, BH12 5BB, UK

    Bogdan Gabrys

  2. Department of Process Engineering, Control Engineering Laboratory, University Oulu, P.O.Box 4300, 90014, Oulu, Finland

    Kauko Leiviskä

  3. Institut für Mechanik, Lehrstuhl für Technische Dynamik, Universität Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany

    Jens Strackeljan

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Angelov, P.P., Zhang, Y., Wright, J.A. (2005). Optimal Design Synthesis of Component-Based Systems Using Intelligent Techniques. In: Gabrys, B., Leiviskä, K., Strackeljan, J. (eds) Do Smart Adaptive Systems Exist?. Studies in Fuzziness and Soft Computing, vol 173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32374-0_13

Download citation

  • DOI: https://doi.org/10.1007/3-540-32374-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24077-8

  • Online ISBN: 978-3-540-32374-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation