Thematic issue on Evolutionary Algorithms in Water Resources

Maier, Holger R.; Kapelan, Zoran; Kasprzyk, J. R.; Matott, L. Shawn

doi:10.1016/j.envsoft.2015.05.003

Cited by 27 publications

(14 citation statements)

References 19 publications

(16 reference statements)

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“…Quite often, this choice is based on the analyst's preference, level of familiarity, and software availability, rather than on a comparison of the tests performed using two or more solution methodologies. This practice makes it difficult to progress towards the development of meaningful guidelines for the application of different optimisation methods [177]. An interesting research question for further studies would be how to characterise and select the best optimisation method for a particular WDS design problem.…”

Section: Solution Methodologymentioning

confidence: 99%

“…It seems, therefore, that research have been trapped, to some extent, in applying new metaheuristic optimisation methods to relatively simple (from an engineering perspective) design problems, without understanding the underlying principles behind algorithm performance. Moreover, study [177] stresses that there has been "little focus on understanding why certain algorithm variants perform better for certain case studies than others". Over the past decade, an increase in the use of deterministic and hybrid methods (i.e., a combined deterministic and stochastic method) can be observed from Figure 4.…”

Section: Solution Methodologymentioning

confidence: 99%

“…Some of those developments are a consequence of an appeal of [23,177] "to counteract potential repetition and stagnation in this field" to continually produce too many papers using "an ever increasing number of EA variants" and "theoretical or very simplistic case studies".…”

Section: Recent Developmentsmentioning

confidence: 99%

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Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Mala-Jetmarova

Sultanova

Savić

2018

Water

133

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Optimisation of water distribution system design is a well-established research field, which has been extremely productive since the end of the 1980s. Its primary focus is to minimise the cost of a proposed pipe network infrastructure. This paper reviews in a systematic manner articles published over the past three decades, which are relevant to the design of new water distribution systems, and the strengthening, expansion and rehabilitation of existing water distribution systems, inclusive of design timing, parameter uncertainty, water quality, and operational considerations. It identifies trends and limits in the field, and provides future research directions. Exclusively, this review paper also contains comprehensive information from over one hundred and twenty publications in a tabular form, including optimisation model formulations, solution methodologies used, and other important details.

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Section: Solution Methodologymentioning

confidence: 99%

Section: Solution Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Mala-Jetmarova

Sultanova

Savić

2018

Water

133

View full text Add to dashboard Cite

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“…Quite often, this choice is based on the literature survey done by the authors of the paper, rather than on an objective comparison of the tests performed using implementations of two or more solution methodologies. Maier et al (2015) stress that these aspects make it difficult to progress towards the development of meaningful guidelines for the application of different optimisation methods. Hence, an interesting research question for further studies would be how to select the best optimisation method for a particular WDS operational problem.…”

Section: Figure 4: Optimisation Methods (Of Papers From the Appendix mentioning

confidence: 99%

Lost in optimisation of water distribution systems? A literature review of system operation

Mala-Jetmarova

Sultanova

Savić

2017

Environmental Modelling & Software

237

114

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Optimisation of the operation of water distribution systems has been an active research field for almost half a century. It has focused mainly on optimal pump operation to minimise pumping costs and optimal water quality management to ensure that standards at customer nodes are met. This paper provides a systematic review by bringing together over two hundred publications from the past three decades, which are relevant to operational optimisation of water distribution systems, particularly optimal pump operation, valve control and system operation for water quality purposes of both urban drinking and regional multiquality water distribution systems. Uniquely, it also contains substantial and thorough information for over one hundred publications in a tabular form, which lists optimisation models inclusive of objectives, constraints, decision variables, solution methodologies used and other details. Research challenges in terms of simulation models, optimisation model formulation, selection of optimisation method and postprocessing needs have also been identified.

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“…Such approach makes it possible to deal with datasets for which exact optimization algorithms become computationally intractable. This metaheuristic is based on an evolutionary algorithm [20,30,21] in which a population of S-RMP models is iteratively evolved. First, a population of S-RMP models is initialized.…”

Section: Metaheuristic Algorithmmentioning

confidence: 99%

Reference-based ranking procedure for environmental decision making: Insights from an ex-post analysis

Ferretti

Liu

Mousseau

et al. 2018

Environmental Modelling & Software

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Preference elicitation is a challenging activity in any decision-making process, yet preferences are fundamental since the recommendations are meaningful and acceptable only if the Decision Maker's values are taken into account. This study proposes an ex-post application of a recent ranking method named Simple Ranking with Multiple Points (S-RMP) to support a participatory decisionmaking process. The method has been tested on a real-world case study simulating the selection of the most suitable site for locating a new landfill. The purpose of the research is twofold: (i) to explore the applicability and relevance of the S-RMP method to support environmental decisionmaking processes and (ii) to provide guidelines for the elicitation of preference parameters of the S-RMP ranking method. The results highlight that the proposed method opens a promising line of research in the environmental decision-making domain, thanks to its ability to use heterogeneous information consistently with the increasing amount of qualitative data embedded in real decisionmaking processes.

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Thematic issue on Evolutionary Algorithms in Water Resources

Cited by 27 publications

References 19 publications

Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Lost in optimisation of water distribution systems? A literature review of system operation

Reference-based ranking procedure for environmental decision making: Insights from an ex-post analysis

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