Abstract
Genetic algorithms (GA) are adaptive methods which may be used to solve complex search and optimization problems. They are based on the simplified simulation 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 The Origin of Species [25]. By mimicking this process, genetic algorithms are able to “develop — evolve” solutions to real world problems. The foundations of genetic algorithms were first laid down rigorously by Holland in [26] and De Jong in [27]. De Jong first applied genetic algorithms in the optimization.
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© 2002 Springer Science+Business Media New York
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Vasiljević, D. (2002). Genetic Algorithms. In: Classical and Evolutionary Algorithms in the Optimization of Optical Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1051-2_3
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DOI: https://doi.org/10.1007/978-1-4615-1051-2_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5370-6
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