Parallel multi-swarm optimization framework for search problems in water distribution systems

Sarat Sreepathi, Downey Brill, Ranji Ranjithan, Gnanamanikam Mahinthakumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Population based heuristic search methods such as evolutionary algorithms (EA) and particle swarm optimization (PSO) methods are widely used for solving optimization problems especially when classical techniques are inadequate. A parallel optimization framework using multiple concurrent particle swarms is developed and applied to water distribution problems. Details of the enabling framework that couples the optimization methods with a parallel simulator built around EPANET will be discussed. In addition, algorithmic and computational performance results using ORNL's and ANL's leadership class parallel architectures will be presented for leakage detection and contaminant source characterization problems for two water distribution networks with 1,834 and 12,457 nodes respectively.

Original languageEnglish
Title of host publicationWorld Environmental and Water Resources Congress 2012
Subtitle of host publicationCrossing Boundaries, Proceedings of the 2012 Congress
Pages3217-3224
Number of pages8
DOIs
StatePublished - 2012
Externally publishedYes
EventWorld Environmental and Water Resources Congress 2012: Crossing Boundaries - Albuquerque, NM, United States
Duration: May 20 2012May 24 2012

Publication series

NameWorld Environmental and Water Resources Congress 2012: Crossing Boundaries, Proceedings of the 2012 Congress

Conference

ConferenceWorld Environmental and Water Resources Congress 2012: Crossing Boundaries
Country/TerritoryUnited States
CityAlbuquerque, NM
Period05/20/1205/24/12

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