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Adaptive steady-state genetic algorithm implementation

  • Darko Vasiljević

Abstract

The adaptive steady-state genetic algorithm (ASSGA) represents one of possible genetic algorithms for the optical system optimization. The genetic algorithms are a general search technique and they are not primary designed for the technical system optimization. On the other hand the ASSGA is specially designed for the technical system optimization. It has some differences from the rest of genetic algorithms, which makes the ASSGA a good algorithm for optimization. The theory of the ASSGA along with other genetic algorithms is given in Chapter 3.

Keywords

Genetic Algorithm Optical System Genetic Operator Merit Function Roulette Wheel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Darko Vasiljević
    • 1
  1. 1.Military Technical Institute, Yugoslavia Military Academy, Yugoslavia Mechanical Engineering FacultyUniversity of BelgradeYugoslavia

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