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Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata

Authors:

Ron Breukelaar,

Thomas BaeckAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1101 - 1102

https://doi.org/10.1145/1389095.1389298

Published: 12 July 2008 Publication History

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Abstract

Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poster describes how a self-adaptive mutation rate was used in a Genetic Algorithms to inverse design behavioral rules for a Cellular Automata. The unique characteristics of this search space gave rise to some interesting convergence behavior that might have implications for using self-adaptive mutation rates in other Genetic Algorithm applications and might clarify why self-adaptation in Genetic Algorithms is less successful than in Evolutionary Strategies.

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Breukelaar, R. and Bäck, Th.: Using a Genetic Algorithm to Evolve Behavior in Multi Dimensional Cellular Automata proceedings of Genetic and Evolutionary Computation Conference, GECCO 2005, ACM 1-59593-010-8/05/0006, pg. 107--114 (2005).

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Eiben, A.E., Hinterding, R., Michalewicz, Z.: Parameter control in evolutionary algorithms Evolutionary Computation, IEEE Transactions on Evolutionary Computation' Volume 3, Issue 2, Jul (1999), pages:124--141

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Puri VRamesh Babu ASudalai Muthu TPotdar S(2019)An Effective Optimisation Algorithm for Sensor Deployment Problem in Wireless Sensor NetworkNext Generation Computing Technologies on Computational Intelligence10.1007/978-981-15-1718-1_21(248-258)Online publication date: 24-Nov-2019
https://doi.org/10.1007/978-981-15-1718-1_21
Vishal PRamesh Babu A. (2018)Deployment of Context-Aware Sensor in Wireless Sensor Network Based on the Variants of Genetic AlgorithmInternational Journal of Artificial Life Research10.4018/IJALR.20180701018:2(1-24)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJALR.2018070101
Theofilatos KDimitrakopoulos CLikothanassis SKleftogiannis DMoschopoulos CAlexakos CPapadimitriou SMavroudi S(2014)The Human Interactome Knowledge Base (HINT-KB)Artificial Intelligence Review10.1007/s10462-013-9409-842:3(427-443)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1007/s10462-013-9409-8
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Index Terms

Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
1. Computing methodologies
  1. Artificial intelligence
    1. Control methods
    2. Search methodologies
2. Theory of computation
  1. Design and analysis of algorithms
    1. Algorithm design techniques
      1. Dynamic programming

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Published In

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

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Published: 12 July 2008

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Puri VRamesh Babu ASudalai Muthu TPotdar S(2019)An Effective Optimisation Algorithm for Sensor Deployment Problem in Wireless Sensor NetworkNext Generation Computing Technologies on Computational Intelligence10.1007/978-981-15-1718-1_21(248-258)Online publication date: 24-Nov-2019
https://doi.org/10.1007/978-981-15-1718-1_21
Vishal PRamesh Babu A. (2018)Deployment of Context-Aware Sensor in Wireless Sensor Network Based on the Variants of Genetic AlgorithmInternational Journal of Artificial Life Research10.4018/IJALR.20180701018:2(1-24)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJALR.2018070101
Theofilatos KDimitrakopoulos CLikothanassis SKleftogiannis DMoschopoulos CAlexakos CPapadimitriou SMavroudi S(2014)The Human Interactome Knowledge Base (HINT-KB)Artificial Intelligence Review10.1007/s10462-013-9409-842:3(427-443)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1007/s10462-013-9409-8
Rajakumar B(2013)Impact of static and adaptive mutation techniques on the performance of Genetic AlgorithmInternational Journal of Hybrid Intelligent Systems10.3233/HIS-12016110:1(11-22)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.3233/HIS-120161
Rajakumar B(2013)Static and adaptive mutation techniques for genetic algorithmInternational Journal of Computational Science and Engineering10.1504/IJCSE.2013.0530878:2(180-193)Online publication date: 1-Apr-2013
https://dl.acm.org/doi/10.1504/IJCSE.2013.053087
Theofilatos KDimitrakopoulos CKleftogiannis DMoschopoulos CPapadimitriou SLikothanassis SMavroudi S(2012)HINT-KB: The Human Interactome Knowledge BaseArtificial Intelligence Applications and Innovations10.1007/978-3-642-33412-2_63(612-621)Online publication date: 2012
https://doi.org/10.1007/978-3-642-33412-2_63
Shafiee AZolghadr MArjomand MSarbazi-Azad HPhillips JHu AGraeb H(2011)Application-aware deadlock-free oblivious routing based on extended turn-modelProceedings of the International Conference on Computer-Aided Design10.5555/2132325.2132373(213-218)Online publication date: 7-Nov-2011
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Kruisselbrink JLi RReehuis EEggermont JBäck TLanzi P(2011)On the log-normal self-adaptation of the mutation rate in binary search spacesProceedings of the 13th annual conference on Genetic and evolutionary computation10.1145/2001576.2001699(893-900)Online publication date: 12-Jul-2011
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Shafiee AZolghadr MArjomand MSarbazi-azad H(2011)Application-aware deadlock-free oblivious routing based on extended turn-modelProceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design10.1109/ICCAD.2011.6105328(213-218)Online publication date: 7-Nov-2011
https://dl.acm.org/doi/10.1109/ICCAD.2011.6105328

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