Titlebook: Classical and Evolutionary Algorithms in the Optimization of Optical Systems; Darko Vasiljević Book 2002 Kluwer Academic Publishers 2002 e

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Classical algorithms in the optimization of optical systems,be expressed as functions of system construction parameters, the problem variables. In all cases of practical interest it is necessary to have more aberrations than variables to get good correlation between the optical system performance and the merit function being minimized by the optimization alg

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Genetic Algorithms,ulation of genetic processes. Over many generations natural populations evolve according to the principles of natural selection and “survival of the fittest” first described by Charles Darwin in a famous book . [25]. By mimicking this process, genetic algorithms are able to “develop — evolve” soluti

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Comparison of optimization algorithms,is logical that if an optimal optimization algorithm exists, then all other optimization algorithms would be superfluous. It is clear that the universal optimization algorithm, that can solve all problems occurring in practice, does not exist. All the optimization algorithms presently known can only

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Aberrations,s the image to be imperfect. In other words the aberrations are differences from the real and the ideal image. The ideal image is formed under assumption that all rays, emerging from the one point on the object, after traversing the optical system, pass through one point on the image. The real image

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Multimembered evolution strategies ES GRUP and ES REKO implementation, one genetic operator — the mutation. The multimembered evolution strategies represent a more complex model of the evolution simulation. In this chapter the implementation of two variants of the multimembered evolution strategies is described:

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Multimembered evolution strategy ES KORR implementation,ther development. The multimembered evolution strategy ES KORR is the result of the research Schwefel conducted in order to improve existing multimembered evolution strategies ES GRUP and ES REKO. Detailed mathematical theory of the general evolution strategies (two membered and multimembered) is gi