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How Ant Systems Can Help in Management of pH for Industrial Wastewater Discharges

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Swarm Intelligence (ANTS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6234))

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Abstract

Many processes from chemical industries generate wastewater discharges with acidic or alkaline character.These type of discharges often need a neutralization process before their incorporation into the receiving media. This process is complex: it presents many difficulties due to the none-linear response of pH value to the addition of acids or bases. Moreover, it requires considering the variable buffering capacity of system and the changes in loading characteristics [1,2]. The mixture of wastewater discharges usually has an unknown value of buffer capacity and its pH value can not be calculated easily.

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References

  1. Adroer, M., Alsina, A., Aumatell, J., Poch, M.: Wastewater neutralization control based on fuzzy logic: experimental results. Industrial and Engineering Chemistry Research 38, 2709–2719 (1999)

    Article  Google Scholar 

  2. Garrido, M., Adroer, M., Poch, M.: Wastewater neutralization control based in fuzzy logic: simulation results. Industrial and Engineering Chemical Research 36, 1665–1674 (1997)

    Article  Google Scholar 

  3. Dorigo, M., Stützle, T.: Ant colony optimization. MIT Press, Cambridge (2004)

    MATH  Google Scholar 

  4. Dorigo, M., Maniezzo, V., Colorni, A.: The Ant System: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics B 26, 29–41 (1996)

    Article  Google Scholar 

  5. Nahas, N., Nourelfath, M.: Ant system for reliability optimization of a series system with multiple-choice and budget constraints. Reliability Engineering and System Safety 87, 1–12 (2005)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. University of Girona, Catalonia, Spain

    Marta Verdaguer, Jordi Giró & Narcís Clara

  2. The Catalan Institute for Water Research, Catalonia, Spain

    Manel Poch

Authors
  1. Marta Verdaguer
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  2. Jordi Giró
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  3. Narcís Clara
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  4. Manel Poch
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Editor information

Editors and Affiliations

  1. IRIDIA, CoDE, Université Libre de Bruxelles, Brussels, Belgium

    Marco Dorigo

  2. IRIDIA, CoDE, Université Libre de Bruxelles, Av. F. Roosevelt 50, CP 194/6, 1050, Brussels, Belgium

    Mauro Birattari

  3. ’Dalla Molle’ Institute for Artificial Intelligence (IDSIA), Galleria 2, 6928, Manno-Lugano, Switzerland

    Gianni A. Di Caro

  4. Complex Systems Institute, Paris-Ile-de-France, CREA, Ecole Polytechnique & CNRS, 57-59, rue Lhomond, 75005, Paris, France

    René Doursat

  5. Department of Computer Science, University of Pretoria, 0002, P.O. Box, Pretoria, South Africa

    Andries P. Engelbrecht

  6. EPFL, Laboratory of Intelligent Systems, Lausanne, Switzerland

    Dario Floreano

  7. Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Lugano, Switzerland

    Luca Maria Gambardella

  8. Department of Automatic Control and Systems Engineering, The University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK

    Roderich Groß

  9. KOVAN Research Lab., Department of Computer Engineering, Middle East Technical University, Inonu Bulvari, 06531, Ankara, Turkey

    Erol Şahin

  10. Department of Bioengineering, Binghamton University, State University of New York, 13902-6000, Binghamton NY, USA

    Hiroki Sayama

  11. IRIDIA, CoDE, Université Libre de Bruxelles, Avenue F. Roosevelt 50, CP 194/6, 1050, Brussels, Belgium

    Thomas Stützle

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© 2010 Springer-Verlag Berlin Heidelberg

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Verdaguer, M., Giró, J., Clara, N., Poch, M. (2010). How Ant Systems Can Help in Management of pH for Industrial Wastewater Discharges. In: Dorigo, M., et al. Swarm Intelligence. ANTS 2010. Lecture Notes in Computer Science, vol 6234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15461-4_63

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  • DOI: https://doi.org/10.1007/978-3-642-15461-4_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15460-7

  • Online ISBN: 978-3-642-15461-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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