Skip to main content

Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources

  • Conference paper
  • First Online:
Evolutionary Multi-Criterion Optimization (EMO 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1993))

Included in the following conference series:

Abstract

While there are many factors that determine the commercial potential of an electric light source, color and efficiency are arguably the most important. Tradeoffs between color and efficiency are frequently made in lighting applications, typically by moving between different light source technologies. However, the potential exists to change position in color-efficiency space by filtering a light source. Because color is specified in two dimensions, and efficiency in one, the Pareto-optimal color and efficiency front defines a surface. This paper presents a method for determining color-efficiency Pareto optimal surface for a filtered light source.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Wyszecki, G. Stiles, W.: Color Science: Concepts and Methods, Quantitative Data and Formulae. 2nd edn. John Wiley & Sons, New York (1982)

    Google Scholar 

  2. Colorimetry (Official Recommendations of the International Commission on Illumination). CIE Publication No. 15 (E-1.3.1), Bureau Central de la CIE, Paris

    Google Scholar 

  3. Houck, C., Joines, J., Kay, M.: A Genetic Algorithm for Function Optimization: A MATLAB Implementation. North Carolina State University-Industrial Engineering Technical Report 95–09 (1995)

    Google Scholar 

  4. Eklund, N., Embrechts, M.: Multi-Objective Optimization of Spectra Using Genetic Algorithms. J. Illuminating Eng. Soc. Am. (in press) (2001)

    Google Scholar 

  5. Siminovitch, M., Gould, C., Page, E.: A High-Efficiency Indirect Lighting System Utilizing the Solar 1000 Sulfur Lamp. Proc. of the Right Light 4 Conf., Nov. 19–21, 1997, Copenhagen, Denmark.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Eklund, N.H., Embrechts, M.J. (2001). Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources. In: Zitzler, E., Thiele, L., Deb, K., Coello Coello, C.A., Corne, D. (eds) Evolutionary Multi-Criterion Optimization. EMO 2001. Lecture Notes in Computer Science, vol 1993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44719-9_42

Download citation

  • DOI: https://doi.org/10.1007/3-540-44719-9_42

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41745-3

  • Online ISBN: 978-3-540-44719-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics