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Multiobjective evolution of a fuzzy controller in a sewage treatment plant

Published: 12 July 2008 Publication History

Abstract

This paper describes the use of a multi-objective evolution strategy in tuning a fuzzy controller which is used in sewage treatment plants. The controller adjusts the oxygenation in the aeration tank to support biological processes, which reduce nutrients. Globally optimal settings are unknown and up to now the settings are made by a specialist equipped with a large amount of background knowledge. We successfully approximated the pareto-optimal set of solutions considering given constraints and three objectives using a wastewater simulation software. Evolution was able to find the settings proposed by a human expert as well as an interesting parameter niche, the so called simultaneous intermittent denitrification, which promises energy savings.

References

[1]
C. Igel, N. Hansen, and S. Roth. Covariance matrix adaptation for multi-objective optimization. Evol. Comput., 15(1):1--28, 2007.
[2]
E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report 103, Swiss Federal Institute of Technology (ETH), 2001.

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cover image ACM Conferences
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,
  • Editor:
  • Maarten Keijzer
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2008

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Author Tags

  1. evolution strategies
  2. fuzzy controller
  3. multi-objective optimization
  4. sewage treatment plant optimization

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