Abstract
This chapter is devoted to the foundations of the genetic algorithms that will be used in the remainder of this book. Starting with several basic notions and definitions in genetic algorithms, fundamental procedures of genetic algorithms are outlined. The main idea of genetic algorithms, involving coding, fitness, scaling, and genetic operators, is then examined. In the context of bit string representations, some of the important genetic operators are also discussed by putting special emphasis on implementation issues for genetic algorithms.
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© 2002 Springer Science+Business Media New York
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Sakawa, M. (2002). Foundations of Genetic Algorithms. In: Genetic Algorithms and Fuzzy Multiobjective Optimization. Operations Research/Computer Science Interfaces Series, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1519-7_2
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DOI: https://doi.org/10.1007/978-1-4615-1519-7_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5594-6
Online ISBN: 978-1-4615-1519-7
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