Download PDFOpen PDF in browser

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

8 pagesPublished: September 20, 2018

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:
BibTeX entry
@inproceedings{HIC2018:Multi_Objective_and_Multi_Criteria_Analysis,
  author    = {Silvia Carpitella and Bruno Brentan and Idel Montalvo and Joaqu\textbackslash{}'in 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},
  pages     = {364--371},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/ppjW},
  doi       = {10.29007/vk44}}
Download PDFOpen PDF in browser