Tabu search algorithms for water network optimization

Detalhes bibliográficos
Autor(a) principal: Cunha, Maria da Conceição
Data de Publicação: 2004
Outros Autores: Ribeiro, Luísa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/3985
https://doi.org/10.1016/S0377-2217(03)00242-X
Resumo: In this paper we propose a tabu search algorithm to find the least-cost design of looped water distribution networks. The mathematical nature of this optimization problem, a nonlinear mixed integer problem, is at the origin of a multitude of contributions to the literature in the last 25 years. In fact, exact optimization methods have not been found for this type of problem, and, in the past, classical optimization methods, like linear and nonlinear programming, were tried at the cost of drastic simplifications. Tabu search is a valuable heuristic technique for solving problems cast in combinatorial form. This is based on the human memory process and uses an iterative neighborhood search procedure in an attempt to avoid becoming trapped in local optima. The use of such a heuristic procedure to solve the aforementioned problem needs particular tailoring to produce high quality solutions. In this paper we present the essential features of the algorithm and the results obtained when it is applied to some of the classical water distribution network case studies appearing in the literature. The results are very promising and demonstrate the usefulness of tabu search algorithms in solving this kind of optimization problem.
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spelling Tabu search algorithms for water network optimizationHeuristicsTabu searchWater distribution networks designOptimizationIn this paper we propose a tabu search algorithm to find the least-cost design of looped water distribution networks. The mathematical nature of this optimization problem, a nonlinear mixed integer problem, is at the origin of a multitude of contributions to the literature in the last 25 years. In fact, exact optimization methods have not been found for this type of problem, and, in the past, classical optimization methods, like linear and nonlinear programming, were tried at the cost of drastic simplifications. Tabu search is a valuable heuristic technique for solving problems cast in combinatorial form. This is based on the human memory process and uses an iterative neighborhood search procedure in an attempt to avoid becoming trapped in local optima. The use of such a heuristic procedure to solve the aforementioned problem needs particular tailoring to produce high quality solutions. In this paper we present the essential features of the algorithm and the results obtained when it is applied to some of the classical water distribution network case studies appearing in the literature. The results are very promising and demonstrate the usefulness of tabu search algorithms in solving this kind of optimization problem.http://www.sciencedirect.com/science/article/B6VCT-498TY6T-9/1/d69a0ed8e8ed7fbd715e23eaaca785562004info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/3985http://hdl.handle.net/10316/3985https://doi.org/10.1016/S0377-2217(03)00242-XengEuropean Journal of Operational Research. 157:3 (2004) 746-758Cunha, Maria da ConceiçãoRibeiro, Luísainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2021-10-18T10:56:19Zoai:estudogeral.uc.pt:10316/3985Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:13.831117Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Tabu search algorithms for water network optimization
title Tabu search algorithms for water network optimization
spellingShingle Tabu search algorithms for water network optimization
Cunha, Maria da Conceição
Heuristics
Tabu search
Water distribution networks design
Optimization
title_short Tabu search algorithms for water network optimization
title_full Tabu search algorithms for water network optimization
title_fullStr Tabu search algorithms for water network optimization
title_full_unstemmed Tabu search algorithms for water network optimization
title_sort Tabu search algorithms for water network optimization
author Cunha, Maria da Conceição
author_facet Cunha, Maria da Conceição
Ribeiro, Luísa
author_role author
author2 Ribeiro, Luísa
author2_role author
dc.contributor.author.fl_str_mv Cunha, Maria da Conceição
Ribeiro, Luísa
dc.subject.por.fl_str_mv Heuristics
Tabu search
Water distribution networks design
Optimization
topic Heuristics
Tabu search
Water distribution networks design
Optimization
description In this paper we propose a tabu search algorithm to find the least-cost design of looped water distribution networks. The mathematical nature of this optimization problem, a nonlinear mixed integer problem, is at the origin of a multitude of contributions to the literature in the last 25 years. In fact, exact optimization methods have not been found for this type of problem, and, in the past, classical optimization methods, like linear and nonlinear programming, were tried at the cost of drastic simplifications. Tabu search is a valuable heuristic technique for solving problems cast in combinatorial form. This is based on the human memory process and uses an iterative neighborhood search procedure in an attempt to avoid becoming trapped in local optima. The use of such a heuristic procedure to solve the aforementioned problem needs particular tailoring to produce high quality solutions. In this paper we present the essential features of the algorithm and the results obtained when it is applied to some of the classical water distribution network case studies appearing in the literature. The results are very promising and demonstrate the usefulness of tabu search algorithms in solving this kind of optimization problem.
publishDate 2004
dc.date.none.fl_str_mv 2004
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/3985
http://hdl.handle.net/10316/3985
https://doi.org/10.1016/S0377-2217(03)00242-X
url http://hdl.handle.net/10316/3985
https://doi.org/10.1016/S0377-2217(03)00242-X
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dc.relation.none.fl_str_mv European Journal of Operational Research. 157:3 (2004) 746-758
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