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A Parallel Optimization Solver for the Multi-period WDND Problem

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Hybrid Artificial Intelligent Systems (HAIS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12886))

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Abstract

A secure water distribution system is an essential element for any city in the world. The importance and huge capital cost of the system lead to their design optimization. However, the water distribution network design optimization is a multimodal and NP-hard problem, as a consequence, we propose an intelligent optimization solver based on a Parallel Hybrid Simulated Annealing (PHSA) to solve it. The parallelism is applied at the algorithmic level, following a cooperative model. The Markov Chain Length (MCL) is an important Simulated Annealing control parameter, which represents the number of moves to reach the equilibrium state at each temperature value. Our main objective is to analyze the PHSA behavior by considering static and dynamic methods to compute the MCL. The obtained results by PHSA enhance the found ones by the published algorithms. This improvement becomes more interesting when PHSA solves a real-world case. Furthermore, the parallel HSA exhibits efficient scalability to solve the WDND problem.

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Acknowledgments

The authors acknowledge the support of Universidad Nacional de La Pampa (Project FI-CD-107/20) and the Incentive Program from MINCyT. The last author is also funded by CONICET.

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Authors and Affiliations

  1. Facultad de Ingeniería, Universidad Nacional de La Pampa, General Pico, Argentina

    Carlos Bermudez, Hugo Alfonso, Gabriela Minetti & Carolina Salto

  2. CONICET, Buenos Aires, Argentina

    Carolina Salto

Authors
  1. Carlos Bermudez
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  2. Hugo Alfonso
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  3. Gabriela Minetti
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  4. Carolina Salto
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Corresponding author

Correspondence to Gabriela Minetti .

Editor information

Editors and Affiliations

  1. University of Deusto, Bilbao, Spain

    Hugo Sanjurjo González

  2. University of Deusto, Bilbao, Spain

    Iker Pastor López

  3. University of Deusto, Bilbao, Spain

    Pablo García Bringas

  4. University of A Coruña, A Coruña, Spain

    Héctor Quintián

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Bermudez, C., Alfonso, H., Minetti, G., Salto, C. (2021). A Parallel Optimization Solver for the Multi-period WDND Problem. In: Sanjurjo González, H., Pastor López, I., García Bringas, P., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2021. Lecture Notes in Computer Science(), vol 12886. Springer, Cham. https://doi.org/10.1007/978-3-030-86271-8_52

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  • DOI: https://doi.org/10.1007/978-3-030-86271-8_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86270-1

  • Online ISBN: 978-3-030-86271-8

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