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Human-Competitive Lens System Design with Evolution Strategies

Christian Gagné, Julie Beaulieu, Marc Parizeau and Simon Thibault
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Abstract - Lens system design provides ideal problems for evolutionary algorithms: a complex nonlinear 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 human competitiveness of an approach where an evolutionary algorithm is hybridized with a local search algorithm to solve both a classic benchmark problem, and a real-world problem.

Bibtex:

@techreport{Gagné674,
author    = { Christian Gagné and Julie Beaulieu and Marc Parizeau and Simon Thibault },
title     = { Human-Competitive Lens System Design with Evolution Strategies },
number    = { RT-LVSN-2007-01 },
address   = { Québec (Québec), Canada },
year      = { 2007 },
month     = { May 22 },
institution = { Laboratoire de Vision et Systèmes Numérique, Université Laval },
web       = { http://vision.gel.ulaval.ca/~cgagne/pubs/lens-techreport-RT-LVSN-2007-01.pdf }
}

Last modification: 2007/05/25 by cgagne

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