Introduction to Genetic Algorithms

  • Hitoshi Iba
  • Claus C. Aranha
Part of the Adaptation, Learning, and Optimization book series (ALO, volume 11)


We can take from the above expert that a large part of technological and social innovations come from improvements on already existing ideas. It could not be in any other way: the human being has an irresistible urge to explore the world around it and modify it, and this includes both the natural world, and that created by his ancestors.

However, just as recent technologies have been developed upon previous discoveries by great minds of the past, a new trend has come into being. What if we tried to improve our technology by watching how nature solves its own problems? Bio-inspired Computing is a new discipline where the inspiration for new algorithms comes from the observation of animals and natural systems.


Genetic Algorithm Genetic Programming Evolutionary Computation Terminal Node Genetic Operator 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.School of Engineering, Dept. Information & Communication EngineeringUniversity of TokyoTokyoJapan
  2. 2.School of Frontier Sciences, Department of Frontier InformaticsThe University of TokyoTokyoJapan

Personalised recommendations