Optimization of Water Distribution Networks Using Cuckoo Search Algorithm

Naidu, M. Naveen; Boindala, Sriman Pankaj; Vasan, Arunchandar; Varma, Murari R. R.

doi:10.1007/978-981-13-8196-6_7

Cited by 10 publications

(3 citation statements)

References 3 publications

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“…To determine the scenario with the most probable combination, the principle of Simulated Annealing was employed. The Optimization Heuristic using the Simulated Annealing technique, proposed by Kirkpatrick [44], Kirkpatrick et al [45], Kirkpatrick [46], and later by Černý [47], was chosen due to its demonstrated effectiveness in various situations, as supported by Van Laarhoven et al [48], Millán-Páramo et al [49], and Naidu et al [50]. Figure 3 shows the flowchart corresponding to the Simulated Annealing Heuristic Optimization algorithm used for this analysis.…”

Section: Resultsmentioning

confidence: 99%

Global Events and Surge in Residential Water Demand: Exploring Possible Hydraulic Scenarios

Benavides-Muñoz,

Lapo-Pauta,

Martínez-Solano

et al. 2024

Water

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For humankind to survive, access to sufficient and safe drinking water is fundamental. This study explores the connection between rising domestic water consumption and planetary phenomena, such as rapid population growth, climate change, and pandemics. To achieve the study’s objectives, it provides a thorough forecast of water use, considering probable global scenarios for the years 2030 and 2050. The modeling approach is adapted from a consistent case study taken from the body of scientific literature on water supply hydraulics. The study’s results highlight the necessity for proactive and flexible management strategies for water resources. Notably, it observes significant alterations in water supply management to adjust water allocation due to the unanticipated and ongoing increase in consumer demand. The forecasted scenarios indicate potential difficulties that may arise in meeting rising domestic water demand amid planetary phenomena. The presented results offer valuable insights to policymakers and water supply authorities, enabling them to effectively address the rising domestic water demand while considering potential adverse conditions, ensuring a sustainable water supply for future generations.

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Section: Resultsmentioning

confidence: 99%

Global Events and Surge in Residential Water Demand: Exploring Possible Hydraulic Scenarios

Benavides-Muñoz,

Lapo-Pauta,

Martínez-Solano

et al. 2024

Water

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show abstract

“…As Σ is a covariance matrix, we can use Cholesky decomposion to simply the LHS term in Equation (5). Assume Σ = P.P T , then the Equation ( 5) can be written as ĝi − Γ i abs P T i x ≥ 0…”

Section: Ellipsoidal Uncertainty Setmentioning

confidence: 99%

“…Farmani et al [2] proposed multiple designs for the Anytown WDS benchmark, considering cost and reliability as conflicting objectives. Kapelan et al [3] considered minimization of design cost and maximization of the robustness of WDS [4][5][6][7][8] and have tried to improve the design Pareto fronts of cost and resiliency using different multi-objective metaheuristics. Wang et al [9] used five different multi-objective algorithms and combined the results to propose the true Pareto fronts for many WDS benchmark networks considering cost and resilience index as conflicting objectives.…”

Section: Introductionmentioning

confidence: 99%

Robust Multi-Objective Design Optimization of Water Distribution System under Uncertainty

Boindala

Ostfeld

2022

Water

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The multi-objective design optimization of water distribution systems (WDS) is to find the Pareto front of optimal designs of WDS for two or more conflicting design objectives. The most popular conflicting objectives considered for the design of WDS are minimization of cost and maximization of resilience index which are considered for the current study. Robust multi-objective optimization is to find the optimal set of the Pareto front considering demand is uncertain. The robustness is controlled by a single parameter that defines the size of the uncertainty set it can vary. The study explores ellipsoidal uncertainty set with different sizes and co-variance matrices. A combined simulation–optimization framework with a combination of self-adaptive multi-objective cuckoo search (SAMOCSA) and the fmincon optimization algorithm is proposed to solve the robust multi-objective design problem. The proposed algorithm is applied to medium and large WDS. The main contribution of this paper is to study the effect of demand uncertainty and the correlation on the WDS designs in a multi-objective framework. The study shows that the inclusion of correlation into the multi-objective design framework can significantly affect the optimal designs.

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Internet of things-based urban waste management system for smart cities using a Cuckoo Search Algorithm

et al. 2020

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Optimization of Water Distribution Networks Using Cuckoo Search Algorithm

Cited by 10 publications

References 3 publications

Global Events and Surge in Residential Water Demand: Exploring Possible Hydraulic Scenarios

Global Events and Surge in Residential Water Demand: Exploring Possible Hydraulic Scenarios

Robust Multi-Objective Design Optimization of Water Distribution System under Uncertainty

Internet of things-based urban waste management system for smart cities using a Cuckoo Search Algorithm

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