Computer experiment and global optimization of layered monocentric lens systems

Nan Zheng, Scott C. Schmidler, Daniel Marks, David Brady

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


In this paper we derive a general analytical solution for a monocentric lens system and present a global optimization method combining sequential design for global optimization and an expected improvement algorithm for global optimization for the design and analysis of a layered monocentric lens system, which provides an "intelligent" way to search the optimization space based on accumulated experience. We then apply these methods to an example of monocentric lens design, and explore the improvement in system performance obtained through increasing the system volume.

Original languageEnglish (US)
Pages (from-to)1249-1259
Number of pages11
Issue number14
StatePublished - Jul 2012
Externally publishedYes


  • Computer experiment
  • Expected improvement algorithm
  • Global optimization
  • Lens design
  • Monocentric lens

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering


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