Chapter 17. Finding Optimal Behaviors with Genetic Algorithms

  1. Éric Wajnberg,
  2. Carlos Bernstein and
  3. Jacques van Alphen
  1. Thomas S. Hoffmeister and
  2. Éric Wajnberg

Published Online: 7 APR 2008

DOI: 10.1002/9780470696200.ch17

Behavioral Ecology of Insect Parasitoids: From Theoretical Approaches to Field Applications

Behavioral Ecology of Insect Parasitoids: From Theoretical Approaches to Field Applications

How to Cite

Hoffmeister, T. S. and Wajnberg, É. (2008) Finding Optimal Behaviors with Genetic Algorithms, in Behavioral Ecology of Insect Parasitoids: From Theoretical Approaches to Field Applications (eds É. Wajnberg, C. Bernstein and J. van Alphen), Blackwell Publishing Ltd, Oxford, UK. doi: 10.1002/9780470696200.ch17

Publication History

  1. Published Online: 7 APR 2008
  2. Published Print: 15 NOV 2008

ISBN Information

Print ISBN: 9781405163477

Online ISBN: 9780470696200

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Keywords:

  • behavioral ecology;
  • parasitoids;
  • genetic algorithms;
  • chromosomes;
  • genotypes

Summary

This chapter contains section titled:

  • Introduction

  • Outline of a GA

  • Afirst Example of Parasitoid Behavioral Ecology: Learning and Optimal Patch Visitation

  • A Second Example of Parasitoid Behavioral Ecology: Optimal Patch time Allocation For Competing Parasitoids with a Limited Time Horizon

  • A Third Example of Parasitoid Behavioral Ecology: Optimal Mark Persistence in a Parasitoid Threatened by Hyperparasitoids

  • Conclusion

  • References