A Design Method of Progressive Multifocal Ophthalmic Lens Based on Genetic Algorithm
A progressive multi-focal and genetic algorithm technology, applied in the field of optimal design of progressive multi-focal ophthalmic lenses, can solve difficult, time-consuming and laborious problems such as optimal parameters, and achieve overcoming limitations, time-saving and labor-saving design, and overall design The effect of features
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Embodiment 1
[0031]In this embodiment, an internal progressive multifocal lens with an addition power of 2 diopters is designed according to the needs of the spectacle wearer. The refractive index of the lens material is 1.532, and the diameter of the lens is φ=72mm. vision. The designed focal power of the inner surface distance zone Φ PA It is 4 diopters; the focal power of the near zone is Φ PB It is 2 diopters; the length of the gradient channel h=30 mm; the distance between the reference point A and the center point of the far zone L=15mm.
[0032] According to the technical solution disclosed in the Chinese invention patent CN103246080A, in the Cartesian coordinate system, the contour line cluster on the surface of the progressive multifocal lens Satisfy the Laplace equation of the following formula (1):
[0033] (1)
[0034] After determining the boundary conditions, the contour cluster can be obtained by solving the Laplace equation numerically. According to the technology ...
Embodiment 2
[0067] In this embodiment, the wearer requires that the progressive multifocal lens is suitable for office use, and other parameters are the same as in Embodiment 1. For this reason, in this example, the lens area is divided according to indoor office use, and the weighting coefficients of the near area, gradient channel, and low astigmatism area are set to relatively large values; and in order to reduce the astigmatism on both sides of the channel and near the near area, increase Weighting factor for maximum astigmatism. The weighting coefficients in the objective function formula (3) of each selected area As shown in table 2.
[0068] Table 2 Table of weighting coefficients in the objective function
[0069] .
[0070] Through the same genetic evolution process as in Example 1, the u value on the boundary of the contour line distribution u(x, y) is obtained as Figure 6 shown. The three-dimensional grid diagram of the contour line u(x,y) obtained by solving the diffe...
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