Improved Optical System Design of Human Eye Using Ant Colony Optimization
DOI:
https://doi.org/10.22399/ijcesen.2691Keywords:
OSD, Human Eye Simulation, Optimization, ACO, Evolutionary AlgorithmsAbstract
The motive we address in this paper is to design an accurate optical system for the human eye using a newly used approach based on optimizing a human eye model by the Ant Colony Algorithm (ACO). The optimization process dealt with the optical features of both the cornea and the lens. The optimal model of the eye was obtained after 100 cycles, in each of which a specific number of ants are placed that secrete the pheromone at each movement. This method allows the ant to make 1000 movements. The initial evaluation of the improvement process showed that the objective function led the ants to improve the selection of the values of the optical features, and that the improvement approached the optimal limits at the last ant turns. The optimal eye model resulting from the optimization was tested by quality measures: OTF and spot size, and were found to be very close to optimal values, which indicating efficiency of evolutionary methods for achieving the intended optical design of the human eye
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