Author details

situations. Lasers are not yet considered to be practical as white-light sources but, with the potential for new developments in solid-state visible laser sources, their

Simulation mode Rf Rf skin Rf min imin LER (lm/W) CCT (K) Constrained 84 87 59 97 364 3011 Unconstrained 86 91 54 81 380 3156

Computer Architecture in Industrial, Biomechanical and Biomedical Engineering

We have here demonstrated the power of the differential evolution algorithm in the intelligent design of light source spectra, based on both LEDs and laser diodes. It provides a simple, flexible and effective solution in the elusive search for the balance of the LER and the colour rendition properties in optimised light sources. We recommend this technique to anyone engaged in the optimum design of light-

We feel confident that our method can also be readily adapted to other types of optimisation problem, wherever suitable elements for the fitness function can be

This work was supported by Professional Engineering and the Manukau Institute of Technology Research Fund. The second author thanks Professor Ahmed Al-Jumaily, director of IBTec at AUT, for his support and the provision of facilities.

The authors declare that there is no conflict of interest regarding the publication

This study has been supported in part by a Manukau Institute of Technology Research Grant, and was also performed as part of the employment of the authors

Previously reported data were used to support this study. These prior studies are

cited at relevant places within the text as references [23, 26–29, 32].

future prospects must be very strong.

Optimizations of simulated tetrachromatic laser mixtures.

imin refers to the sample number that gave the listed value of Rf i = Rf min, i = 97 is dark pink-purple (printed origin); 81 is dark purple-blue (natural origin).

5. Conclusions

Table 6.

source spectra.

readily identified.

Acknowledgements

Conflicts of interest

Funding statement

Data availability

52

by Manukau Institute of Technology.

of this chapter.

Snjezana Soltic<sup>1</sup> \* and Andrew N. Chalmers<sup>2</sup>

1 Manukau Institute of Technology, Auckland, New Zealand

2 Institute of Biomedical Technologies, Auckland University of Technology, Auckland, New Zealand

\*Address all correspondence to: ssoltic@manukau.ac.nz

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
