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Author: Stefan Böttcher

Affiliation: Emory University, United States

ISBN: 978-989-674-014-6

Keyword(s): Extremal Optimization, Self-Organized Criticality, Evolution Strategies, Co-evolution and Collective Behavior, Spin Glasses.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biocomputing and Complex Adaptive Systems ; Co-Evolution and Collective Behavior ; Computational Intelligence ; Evolution Strategies ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: Motivated by noise-driven cellular automata models of self-organized criticality (SOC), a new paradigm for the treatment of hard combinatorial optimization problems is proposed. An extremal selection process preferentially advances variables in a poor local state. The ensuing dynamic process creates broad fluctuations to explore energy landscapes widely, with frequent returns to near-optimal configurations. This Extremal Optimization heuristic is evaluated theoretically and numerically.

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Paper citation in several formats:
Böttcher S. and (2009). EVOLUTIONARY DYNAMICS OF EXTREMAL OPTIMIZATION.In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 111-118. DOI: 10.5220/0002314101110118

@conference{icec09,
author={Stefan Böttcher},
title={EVOLUTIONARY DYNAMICS OF EXTREMAL OPTIMIZATION},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009)},
year={2009},
pages={111-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002314101110118},
isbn={978-989-674-014-6},
}

TY - CONF

JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009)
TI - EVOLUTIONARY DYNAMICS OF EXTREMAL OPTIMIZATION
SN - 978-989-674-014-6
AU - Böttcher, S.
PY - 2009
SP - 111
EP - 118
DO - 10.5220/0002314101110118

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