Design of aspheric spectacle lenses using non-dominated sorting genetic algorithm

• Autorzy: Xiang Huazhong , Ding Qihui , Li Nianning , Zhang Xin , Wang Peng , Li Hongtao , Zheng Zexi , Zhang Dawei

Identyfikatory

DOI

10.37190/oa230411

• Języki publikacji: EN

Abstrakty

EN

Significance: An effective algorithm for optimization of lens parameter can greatly eliminate the aberration and reduce the thickness, making the wearer more comfortable. Aim: We proposed a non-dominated sorting genetic algorithm (NSGA-II) for generating sets of base curves and aspheric coefficients to minimize the residual astigmatism and aberration of the lenses, while satisfying the constraints on the lens thickness and power. Approach: By simulating natural selection using the NSGA-II algorithm, the design parameters considered the inventory of the semi-finished blank. A comparison of aspheric and spherical spectacle lenses with –8 diopters was designed, simulated, processed, and measured. Results: The measured spherical and cylindrical power distributions were consistent with the simulated results with corrected oblique astigmatism and distortion. Conclusions: The aspheric spectacle lenses had the required aesthetic shape and weight reduction compared to a spherical lenses of the same power. It is verified that this paper puts forward an effective NSGA-II algorithm for the optimization of lens parameters.

Słowa kluczowe

EN

aspheric ophthalmic lens; genetic algorithm; multi-objective optimisation; aberration

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Optica Applicata
• Rocznik: 2023
• Tom: Vol. 53, nr 4
• Strony: 643--654
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Xiang Huazhong

• School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Road, Shanghai 200093, China

autor

Ding Qihui

• School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Road, Shanghai 200093, China

autor

Li Nianning

• School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Road, Shanghai 200093, China

autor

Zhang Xin

• School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Road, Shanghai 200093, China

autor

Wang Peng

• School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Road, Shanghai 200093, China

autor

Li Hongtao

• School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Road, Shanghai 200093, China

autor

Zheng Zexi

• School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

autor

Zhang Dawei

• Engineering Research Center of Optic Instrument and System, Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, China
• School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Road, Shanghai 200093, China

Bibliografia

• [1] World report on vision, World Health Organization, 2019.
• [2] ATCHISON D.A., Spectacle lens design: A review, Applied Optics 31(19), 1992: 3579-3585. https://doi.org/10.1364/AO.31.003579
• [3] MIKS A., NOVAK J., NOVAK P., Third-order design of aspheric spectacle lenses, Optik 121(23), 2010: 2097-2104. https://doi.org/10.1016/j.ijleo.2009.07.008
• [4] QIN H., Aberration correction of a single aspheric lens with particle swarm algorithm, Optics Communications 285(13-14), 2012: 2996-3000. https://doi.org/10.1016/j.optcom.2012.02.083
• [5] FAN Z., WEI S., ZHU Z., MO Y., YAN Y., MA D., Automatically retrieving an initial design of a double-sided telecentric zoom lens based on a particle swarm optimization, Applied Optics 58(27), 2019: 7379-7386. https://doi.org/10.1364/AO.58.007379
• [6] MENKE C., Application of particle swarm optimization to the automatic design of optical systems, Optical Design and Engineering VII, Vol. 10690, SPIE, 2018: 106901A. https://doi.org/10.1117/12.2311610
• [7] GUO D., YIN L., YUAN G., New automatic optical design method based on combination of particle swarm optimization and least squares, Optics Express 27(12), 2019: 17027-17040. https://doi.org/10.1364/OE.27.017027
• [8] SUN W.S., TIEN C.L., SUN C.C., CHANG M.W., CHANG H., Ophthalmic lens design with the optimization of the aspherical coefficients, Optical Engineering 39(4), 2000: 978. https://doi.org/10.1117/1.602469
• [9] YEN C.T., JIN S.C., Aspherical lens design using genetic algorithm for reducing aberrations in multifocal artificial intraocular lens, Materials 8(9), 2015: 6309-6325. https://doi.org/10.3390/ma8095305
• [10] YEN C.T., YE J.W., Aspherical lens design using hybrid neural-genetic algorithm of contact lenses, Applied Optics 54(28), 2015: E88-E93. https://doi.org/10.1364/AO.54.000E88
• [11] KARZ M., Aspherical surfaces used to minimize oblique astigmatic error, power error, and distortion of some high positive and negative power ophthalmic lenses: Erratum, Applied Optics 21(24), 1982: 4399_1-4399. https://doi.org/10.1364/AO.21.4399_1
• [12] JALIE M., Modern spectacle lens design, Clinical and Experimental Optometry 103(1), 2020: 3-10. https://doi.org/10.1111/cxo.12930
• [13] DEB K., PRATAP A., AGARWAL S., MEYARIVAN T., A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation 6(2), 2002: 182-197. https://doi.org/10.1109/4235.996017
• [14] YUSOFF Y., NGADIMAN M.S., ZAIN A.M., Overview of NSGA-II for optimizing machining process parameters, Procedia Engineering 15, 2011: 3978-3983. https://doi.org/10.1016/j.proeng.2011.08.745
• [15] HÖSCHEL K., LAKSHMINARAYANAN V., Genetic algorithms for lens design: A review, Journal of Optics 48(1), 2019: 134-144. https://doi.org/10.1007/s12596-018-0497-3
• [16] JALIE M., Principles of Ophthalmic Lenses, 5th Ed., Association of Dispensing Opticians, 2016.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).