Multi-Objective and Multi-Criteria Analysis for Optimal Pump Scheduling in Water Systems

8 pages•Published: September 20, 2018

Silvia Carpitella, Bruno Brentan, Idel Montalvo, Joaquín Izquierdo and Antonella Certa

Abstract

This contribution focuses on the problem of optimal pump scheduling, a fundamental element in pursuing operation optimization of water distribution systems. A combined approach of multi-objective optimization and multi-criteria analysis is herein suggested to first find the Pareto front of non-dominated solutions and then to rank them based on a set of weighted criteria. The Non-Dominated Sorting Genetic Algorithm (NSGA-II) is proposed to solve the multi-objective problem, while the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to achieve the final ranking.

Keyphrases: multi objective optimization, multicriteria analysis, optimal pump scheduling, water distribution systems

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 364-371.

Links:	https://easychair.org/publications/paper/ppjW
	https://doi.org/10.29007/vk44

BibTeX entry

@inproceedings{HIC2018:Multi_Objective_Multi_Criteria,
  author    = {Silvia Carpitella and Bruno Brentan and Idel Montalvo and Joaquín Izquierdo and Antonella Certa},
  title     = {Multi-Objective and Multi-Criteria Analysis for Optimal Pump Scheduling in Water Systems},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/ppjW},
  doi       = {10.29007/vk44},
  pages     = {364-371},
  year      = {2018}}

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