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<title>Global optimization for lens design: an emerging technology</title>
19
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1993
Year
Optical DesignGeometric ModelingComputational ScienceLarge-scale Global OptimizationEngineeringContinuous OptimizationNatural SciencesGlobal SynthesisOptic DesignDesignGeometrical OpticComputer EngineeringConstrained OptimizationInverse ProblemsComputer ScienceRecent ProgressComputational GeometryLens Design
Recent progress in global optimization has raised new interest in the application of global methods to lens design. This paper has several goals. We describe the attributes of a new global algorithm, Global Synthesis (OS), and we distinguish it from previously reported methods on the basis of efficiency and the ability to handle many (i.e., >50) variables and comparable numbers of active, nonlinear, equality and inequality constraints. Many experienced designers doubt, often with good reason, that mu1ple minima exist for practical problems, so we present meaningful examples showing additional minima often do exist. These test cases, some with known optimal solutions, can be used to study and benchmark the performance of different methods, and we describe recent results with OS on these test problems. We discuss what is meant by "success" in global optimization, and point out the practical limits of current methods. Finally, we discuss what impact global optimization may have on optical design as it becomes a mainstream tool of designers.