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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

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  • © 2002

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Table of contents (16 chapters)

Keywords

About this book

The optimization of optical systems is a very old problem. As soon as lens designers discovered the possibility of designing optical systems, the desire to improve those systems by the means of optimization began. For a long time the optimization of optical systems was connected with well-known mathematical theories of optimization which gave good results, but required lens designers to have a strong knowledge about optimized optical systems. In recent years modern optimization methods have been developed that are not primarily based on the known mathematical theories of optimization, but rather on analogies with nature. While searching for successful optimization methods, scientists noticed that the method of organic evolution (well-known Darwinian theory of evolution) represented an optimal strategy of adaptation of living organisms to their changing environment. If the method of organic evolution was very successful in nature, the principles of the biological evolution could be applied to the problem of optimization of complex technical systems.

Authors and Affiliations

  • Military Technical Institute, Yugoslavia Military Academy, Yugoslavia Mechanical Engineering Faculty, University of Belgrade, Yugoslavia

    Darko Vasiljević

Bibliographic Information

  • Book Title: Classical and Evolutionary Algorithms in the Optimization of Optical Systems

  • Authors: Darko Vasiljević

  • DOI: https://doi.org/10.1007/978-1-4615-1051-2

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Kluwer Academic Publishers 2002

  • Hardcover ISBN: 978-1-4020-7140-9Published: 09 September 2002

  • Softcover ISBN: 978-1-4613-5370-6Published: 23 October 2012

  • eBook ISBN: 978-1-4615-1051-2Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XIII, 279

  • Topics: Artificial Intelligence

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