Optimisation of gravity-fed water distribution network design: A critical review

Corte, Annelies De; Sörensen, Kenneth

doi:10.1016/j.ejor.2012.11.046

Cited by 62 publications

(37 citation statements)

References 61 publications

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“…Hence, they are followed with numerous follow up papers showing the application of the new method to different sets of problems, always with exceptionally good results [142]. However, it has been shown that several methods recycle well known ideas and their performance is overestimated [25,116,155,163]. Teasing out the novelty of such methods is an arduous task, which should be carried out by the algorithm authors [133].…”

Section: Deterministic Algorithmsmentioning

confidence: 99%

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges

Muñoz

Sun

Kirley

et al. 2015

Information Sciences

174

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a b s t r a c tSelecting the most appropriate algorithm to use when attempting to solve a black-box continuous optimization problem is a challenging task. Such problems typically lack algebraic expressions, it is not possible to calculate derivative information, and the problem may exhibit uncertainty or noise. In many cases, the input and output variables are analyzed without considering the internal details of the problem. Algorithm selection requires expert knowledge of search algorithm efficacy and skills in algorithm engineering and statistics. Even with the necessary knowledge and skills, success is not guaranteed.In this paper, we present a survey of methods for algorithm selection in the black-box continuous optimization domain. We start the review by presenting Rice's (1976) selection framework. We describe each of the four component spaces -problem, algorithm, performance and characteristic -in terms of requirements for black-box continuous optimization problems. This is followed by an examination of exploratory landscape analysis methods that can be used to effectively extract the problem characteristics. Subsequently, we propose a classification of the landscape analysis methods based on their order, neighborhood structure and computational complexity. We then discuss applications of the algorithm selection framework and the relationship between it and algorithm portfolios, hybrid meta-heuristics, and hyper-heuristics. The paper concludes with the identification of key challenges and proposes future research directions.

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Section: Deterministic Algorithmsmentioning

confidence: 99%

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges

Muñoz

Sun

Kirley

et al. 2015

Information Sciences

174

View full text Add to dashboard Cite

show abstract

“…An outer approximation approach is also exploited in Raghunathan (2013) to solve the nonlinear model. Extensive details on the application of optimization techniques to water network problems are presented in the surveys (D'Ambrosio et al, in press;De Corte & Sörensen, 2013).…”

Section: Exact Optimization Techniquesmentioning

confidence: 99%

Simulation-optimization approaches for water pump scheduling and pipe replacement problems

Naoum-Sawaya

Ghaddar

Arandia

et al. 2015

European Journal of Operational Research

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“…This task together with that of WWCN optimization (to be presented in the next section) appears when designing a completely new network for a new urban area or rehabilitating the existing network to cope with aging network components, increased urbanization or upgraded standards. It is usually assumed that the network layout is predefined together with specified nodal demands [31]. In this context, most interest has focused on selecting and dimensioning the necessary types of pipes for WDNs.…”

Section: Water Distribution Network Optimizationmentioning

confidence: 99%

Optimization of Potable Water Distribution and Wastewater Collection Networks: A Systematic Review and Future Research Directions

Zhao

Beach

Rezgui

2016

IEEE Trans. Syst. Man Cybern, Syst.

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Abstract-Potable water distribution networks (WDNs) and wastewater collection networks (WWCNs) are the two fundamental constituents of the complex urban water infrastructure. Such water networks require adapted design interventions as part of retrofitting, extension and maintenance activities. Consequently, proper optimization methodologies are required to reduce the associated capital cost while also meeting the demands of acquiring clean water and releasing wastewater by consumers. In this paper, a systematic review of the optimization of both WDNs and WWCNs, from the preliminary stages of development through to the state-of-the-art, is jointly presented. Firstly, both WDNs and WWCNs are conceptually and functionally described along with illustrative benchmarks. The optimization of water networks across both clean and waste domains is then systematically reviewed and organized, covering all levels of complexity from the formulation of cost functions and constraints, through to traditional and advanced optimization methodologies. The rationales behind employing these methodologies as well as their advantages and disadvantages are investigated. The paper then critically discusses current trends and identifies directions for future research by comparing the existing optimization paradigms within WDNs and WWCNs and proposing common research directions for optimizing water networks. Optimization of urban water networks is a multidisciplinary domain, within which this paper is anticipated to be of great benefit to researchers and practitioners.

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Optimisation of gravity-fed water distribution network design: A critical review

Cited by 62 publications

References 61 publications

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges

Simulation-optimization approaches for water pump scheduling and pipe replacement problems

Optimization of Potable Water Distribution and Wastewater Collection Networks: A Systematic Review and Future Research Directions

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