An Evolutionary Algorithm for Controlling Chaos: The Use of Multi—objective Fitness Functions-Reference-Cited by-同舟云学术

An Evolutionary Algorithm for Controlling Chaos: The Use of Multi—objective Fitness Functions

Published:2002 Issue: Volume: Page:308-317
ISSN:0302-9743
Container-title:Parallel Problem Solving from Nature — PPSN VII
language:
Short-container-title:

Author:

Richter Hendrik

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45712-7_30

Reference17 articles.

1. Bäck, T.: Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University Press, New York (1996)

2. Baier, G., Klein, M.: Maximum hyperchaos in generalized Hénon maps. Phys. Lett. A151 (1990) 281–284

3. Fletcher, R.: Practical Methods of Optimization. John Wiley, Chichester (1987)

4. Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addision-Wesley, Reading MA (1989)

5. Kailath, T.: Linear Systems. Prentice-Hall, Englewood Cliffs NJ (1980)

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Chaotic attractors of discrete dynamical systems used in the core of evolutionary algorithms: state of art and perspectives;Journal of Difference Equations and Applications;2023-06-28

2. Feature selection algorithm for usability engineering: a nature inspired approach;Complex & Intelligent Systems;2021-05-12

3. Unconventional Algorithms and Hidden Chaotic Attractors;Emergence, Complexity and Computation;2021

4. Swarm and Evolutionary Dynamics as a Network;Emergence, Complexity and Computation;2017-11-25

5. Evolutionary identification of hidden chaotic attractors;Engineering Applications of Artificial Intelligence;2016-04