A Comparison of Preference Handling Techniques in Multi-Objective Optimisation for Water Distribution Systems
Dealing with real world engineering problems, often comes with facing multiple and conflicting objectives and requirements. Water distributions systems (WDS) are not exempt from this: while cost and hydraulic performance are usually conflicting objectives, several requirements related with environme...
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doaj-c0b13b81959940388a21f13d7f90e3302020-11-24T23:04:56ZengMDPI AGWater2073-44412017-12-0191299610.3390/w9120996w9120996A Comparison of Preference Handling Techniques in Multi-Objective Optimisation for Water Distribution SystemsGilberto Reynoso-Meza0Victor Henrique Alves Ribeiro1Elizabeth Pauline Carreño-Alvarado2Industrial and Systems Engineering Graduate Program (PPGEPS), Pontifical Catholic University of Parana (PUCPR), Curitiba 80215-901, BrazilIndustrial and Systems Engineering Graduate Program (PPGEPS), Pontifical Catholic University of Parana (PUCPR), Curitiba 80215-901, BrazilDepartment of Hydraulic and Environmental Engineering, Universitat Politènica de Valècia, 46022 Valencia, SpainDealing with real world engineering problems, often comes with facing multiple and conflicting objectives and requirements. Water distributions systems (WDS) are not exempt from this: while cost and hydraulic performance are usually conflicting objectives, several requirements related with environmental issues in water sources might be in conflict as well. Commonly, optimisation statements are defined in order to address the WDS design, management and/or control. Multi-objective optimisation can handle such conflicting objectives, by means of a simultaneous optimisation of the design objectives, in order to approximate the so-called Pareto front. In such algorithms it is possible to embed preference handling mechanisms, with the aim of improving the pertinency of the approximation. In this paper we propose two mechanisms to handle such preferences based on the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and PROMETHEE (Preference Ranking Organisation METHod for Enrichment of Evaluations) methods. Performance evaluation on two benchmarks validates the usefulness of such approaches according to the degree of flexibility to capture designers’ preferences.https://www.mdpi.com/2073-4441/9/12/996water distribution systemsmulti-objective optimisationevolutionary multi-objective optimisation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gilberto Reynoso-Meza Victor Henrique Alves Ribeiro Elizabeth Pauline Carreño-Alvarado |
spellingShingle |
Gilberto Reynoso-Meza Victor Henrique Alves Ribeiro Elizabeth Pauline Carreño-Alvarado A Comparison of Preference Handling Techniques in Multi-Objective Optimisation for Water Distribution Systems Water water distribution systems multi-objective optimisation evolutionary multi-objective optimisation |
author_facet |
Gilberto Reynoso-Meza Victor Henrique Alves Ribeiro Elizabeth Pauline Carreño-Alvarado |
author_sort |
Gilberto Reynoso-Meza |
title |
A Comparison of Preference Handling Techniques in Multi-Objective Optimisation for Water Distribution Systems |
title_short |
A Comparison of Preference Handling Techniques in Multi-Objective Optimisation for Water Distribution Systems |
title_full |
A Comparison of Preference Handling Techniques in Multi-Objective Optimisation for Water Distribution Systems |
title_fullStr |
A Comparison of Preference Handling Techniques in Multi-Objective Optimisation for Water Distribution Systems |
title_full_unstemmed |
A Comparison of Preference Handling Techniques in Multi-Objective Optimisation for Water Distribution Systems |
title_sort |
comparison of preference handling techniques in multi-objective optimisation for water distribution systems |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2017-12-01 |
description |
Dealing with real world engineering problems, often comes with facing multiple and conflicting objectives and requirements. Water distributions systems (WDS) are not exempt from this: while cost and hydraulic performance are usually conflicting objectives, several requirements related with environmental issues in water sources might be in conflict as well. Commonly, optimisation statements are defined in order to address the WDS design, management and/or control. Multi-objective optimisation can handle such conflicting objectives, by means of a simultaneous optimisation of the design objectives, in order to approximate the so-called Pareto front. In such algorithms it is possible to embed preference handling mechanisms, with the aim of improving the pertinency of the approximation. In this paper we propose two mechanisms to handle such preferences based on the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and PROMETHEE (Preference Ranking Organisation METHod for Enrichment of Evaluations) methods. Performance evaluation on two benchmarks validates the usefulness of such approaches according to the degree of flexibility to capture designers’ preferences. |
topic |
water distribution systems multi-objective optimisation evolutionary multi-objective optimisation |
url |
https://www.mdpi.com/2073-4441/9/12/996 |
work_keys_str_mv |
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