Foundations of Genetic Algorithms

  • Masatoshi Sakawa
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 14)


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.


Genetic Algorithm Genetic Operator Crossover Rate Linear Scaling Uniform Crossover 
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

  • Masatoshi Sakawa
    • 1
  1. 1.Department of Artificial Complex Systems Engineering, Graduate School of EngineeringHiroshima UniversityHigashi-HiroshimaJapan

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