Julie Beaulieu

Learn More
This paper presents some lens system design and re-engineering experimentations with genetic algorithms and genetic programming. These Evolutionary Algorithms (EA) were successfully applied to a design problem that was previously presented to expert participants of an international lens design conference. Comparative results demonstrate that the use of EA(More)
This is a list of applications of CMA-ES on various kinds of problems. The list is rather incomplete, in particular for references after 2007. To include a reference please send a bibtex-entry and the pdf of the article to hansen AT lri.fr. A method for handling uncertainty in evolutionary optimization with an application to feedback control of combustion.(More)
Lens system design provides ideal problems for evolutionary algorithms: a complex non-linear optimization task, often with intricate physical constraints, for which there is no analytical solutions. This paper demonstrates, through the use of two evolution strategies, namely non-isotropic SA-ES and CMA-ES, as well as multiobjective NSGA-II optimization, the(More)
Lens system design makes extensive use of optimization techniques to improve the performance of an optical system. We know that designing a lens system is a complex task currently done by experienced optical designers, using specialized optical design software tools. In order to contribute to this particular field, this paper presents a comparison between(More)
  • 1