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Design Optimization of Sewer System Using Particle Swarm Optimization

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 437))

Abstract

Particle swarm optimization (PSO) technique with new modification is applied in this paper for optimally determine the sewer network component sizes of a predetermined layout. This PSO technique is used for dealing with both discrete and continuous variables as requisite by this problem. A live example of a sewer network is considered to show the algorithm performance, and the results are presented. The results show the capability of the proposed technique for optimally solving the problems of sewer networks.

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Authors and Affiliations

  1. Department of Civil Engineering, MNIT, Jaipur, 302017, India

    Praveen K. Navin & Y. P. Mathur

Authors
  1. Praveen K. Navin
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  2. Y. P. Mathur
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Corresponding author

Correspondence to Praveen K. Navin .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Dept of Mathematics, South Asian University New Delhi, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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© 2016 Springer Science+Business Media Singapore

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Navin, P.K., Mathur, Y.P. (2016). Design Optimization of Sewer System Using Particle Swarm Optimization. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-0451-3_17

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  • DOI: https://doi.org/10.1007/978-981-10-0451-3_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0450-6

  • Online ISBN: 978-981-10-0451-3

  • eBook Packages: EngineeringEngineering (R0)

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