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Authors: Lukas König ; Sanaz Mostaghim and Hartmut Schmeck

Affiliation: Karlsruhe Institute of Technology, Germany

ISBN: 978-989-8425-83-6

Keyword(s): Evolutionary robotics, Swarm robotics, Success prediction, Mathematical model, Markov chain, Selection.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Evolutionary Robotics and Intelligent Agents ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing ; Swarm/Collective Intelligence

Abstract: In this paper, a theoretical and experimental study of the influence of environments on the selection process in evolutionary swarm robotics is conducted. The theoretical selection model is based on Markov chains. It is proposed to predict the success rate of evolutionary runs which are based on a selection mechanism depending on implicit environmental properties as well as an explicit fitness function. In the experiments, the interaction of explicit and implicit selection is studied and a comparison with the model prediction is performed. The results indicate that the model prediction is accurate for the studied cases.

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Paper citation in several formats:
König, L.; Mostaghim, S. and Schmeck, H. (2011). A MARKOV-CHAIN-BASED MODEL FOR SUCCESS PREDICTION OF EVOLUTION IN COMPLEX ENVIRONMENTS.In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011) ISBN 978-989-8425-83-6, pages 90-102. DOI: 10.5220/0003677700900102

@conference{ecta11,
author={Lukas König. and Sanaz Mostaghim. and Hartmut Schmeck.},
title={A MARKOV-CHAIN-BASED MODEL FOR SUCCESS PREDICTION OF EVOLUTION IN COMPLEX ENVIRONMENTS},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)},
year={2011},
pages={90-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003677700900102},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)
TI - A MARKOV-CHAIN-BASED MODEL FOR SUCCESS PREDICTION OF EVOLUTION IN COMPLEX ENVIRONMENTS
SN - 978-989-8425-83-6
AU - König, L.
AU - Mostaghim, S.
AU - Schmeck, H.
PY - 2011
SP - 90
EP - 102
DO - 10.5220/0003677700900102

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