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- W2141348314 abstract "The goal of this project is to investigate the performance of the Genetic Algorithms (GA) and the influence of their parameters on optical system optimization. We have developed our own code on optical system optimization using the MatLab GA module to accomplish this task. To evaluate the optical part of our code we checked the outcomes of each step with the commercial lens-design software-package Zemax. We tested different tuning parameters of the GA. We found that the mutation and the crossover parameters are the most critical parameters. Choosing inappropriate values of these parameters causes the optimization routine to never reach a good result, even by increasing the population size and the number of generations to high numbers. As an alternative to GA, we studied the Artificial Bee Colony (ABC) method. This is one of the newest methods for global optimization which is claimed by some authors to perform better than GA. We combined an existing ABC code with our optical code. According to the results, for the optical system we consider, we found the GA to be superior over the ABC method." @default.
- W2141348314 created "2016-06-24" @default.
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- W2141348314 date "2014-06-13" @default.
- W2141348314 modified "2023-09-23" @default.
- W2141348314 title "Optical System Optimization Using Genetic Algorithms" @default.
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