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Proceedings Article

Algorithm for global optimization of optical systems based on genetic competition

[+] Author Affiliations
Kenneth E. Moore

Focus Software, Inc. (USA)

Proc. SPIE 3780, Optical Design and Analysis Software, 40 (September 27, 1999); doi:10.1117/12.363781
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From Conference Volume 3780

  • Optical Design and Analysis Software
  • Richard C. Juergens
  • Denver, CO, USA | July 18, 1999

abstract

Global optimization of optical system designs is difficult because of the complex solution space and extreme non- linearity of system performance with respect to design parameters. Genetic algorithms (GA's) have been used to effectively solve complex non-linear optimizations in other fields of science. GA's model each design parameter as part of a genetic code for an imaginary creature, and the system performance is interpreted to be the fitness for survival of this creature. The GA's goal is to improve the system performance by selective breeding of simulated creatures to yield simulated offspring with desirable traits. An algorithm for doing this along with results will be presented.

© (1999) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Kenneth E. Moore
"Algorithm for global optimization of optical systems based on genetic competition", Proc. SPIE 3780, Optical Design and Analysis Software, 40 (September 27, 1999); doi:10.1117/12.363781; http://dx.doi.org/10.1117/12.363781


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