Abstract
AbstractTwo techniques for use with SIMION [1] are presented, boundary matching and genetic optimization. The first allows systems which were previously difficult or impossible to simulate in SIMION to be simulated with great accuracy. The second allows any system to be rapidly and robustly optimized using a parallelized genetic algorithm. Each method will be described along with examples of real world applications.
Publisher
Cambridge University Press (CUP)
Cited by
2 articles.
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1. CPOpt: A modular framework for genetic algorithm optimization and post-optimization analysis in complex charged particle optical design;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2024-10
2. Notes and References;Principles of Electron Optics;2018