Self-Adaptive Cuckoo Search Algorithm for Optimal Design of Water Distribution Systems

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

doi:10.1007/s11269-020-02597-2

Cited by 25 publications

(11 citation statements)

References 44 publications

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“…However l, values are more as compared to Hanoi O 2 . Optimal WDN designs obtained from three MF are compared to the previously published true Pareto front of Pankaj et al (2020). It is found that the optimal WDN designs obtained are in line and towards the upper end of Pareto front of Pankaj et al (2020), and evident from Figure 11.…”

Section: O 2 Scenariomentioning

confidence: 92%

“…Hanoi WDN comprises thirty-two nodes, and thirty-four pipes linking them, arranged in three loops as shown in Figure 4 (Fujiwara & Khang 1990). The Pamapur WDN (real-life case study located in Telangana, India) consists of one hundred and twenty-two pipes, one hundred and two demand nodes, and three tanks, as shown in Figure 5 (Pankaj et al 2020). The present study focuses on finding out the optimal set of WDN diameters while balancing the network hydraulically and satisfying minimum head requirements at each demand node.…”

Section: Case Studies and Mathematical Modelingmentioning

confidence: 99%

“…The minimum pressure head chosen is 6 m for all demand nodes. However, it is 5.75 m for node 22 (Pankaj et al 2020). Table 3 presents the l values obtained for various MF and corresponding objective values for Pamapur.…”

Section: Pamapur Wdnmentioning

confidence: 99%

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Fuzzy optimization-based Water Distribution Network design using Self-Adaptive Cuckoo Search Algorithm

2021

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Water Distribution Network(s) (WDN) design is gaining prominence in the urban planning context. Several factors that play a significant role in design are uncertainty in data, non-linear relation of head loss & discharge, combinatorial nature of the problem, and high computational requirements. In addition, many conflicting objectives are possible and required for effective WDN design, such as cost, resilience, and leakage. Most of the research work published has used multiobjective evolutionary optimization in solving such complex WDN. However, the challenge of such population based evolutionary approaches is that they provide multiple trade-off Pareto optimal solutions to the decision-maker who will have to choose another set of techniques to arrive at a single optimal solution. The present study employs a fuzzy optimization approach that would provide a single optimal WDN design for Hanoi and Pamapur, India. Maximization of network resilience (NR) and minimization of network cost (NC) are employed in a multiobjective context. Later, minimization of network leakages (NL) is also incorporated, leading to three objective problems. Hyperbolic Membership Function (HMF), Exponential Membership Function (EMF), and Non-linear Membership Function (NMF) are employed in Self-Adaptive Cuckoo Search Algorithm based fuzzy optimization. HMF is found suitable to determine the best possible WDN design for chosen case studies based on the highest degree of satisfaction. HIGHLIGHT Most of the research conducted till now have used evolutionary multiobjective optimization in solving WDNs. But, the challenge of such evolutionary approaches is that they provide multiple trade-off pareto optimal solutions to the decision maker who will have to further choose another methodology to converge to a single optimal solution. The proposed methodology would simplify the decision-making process for an engineer.

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Section: O 2 Scenariomentioning

confidence: 92%

Section: Case Studies and Mathematical Modelingmentioning

confidence: 99%

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Fuzzy optimization-based Water Distribution Network design using Self-Adaptive Cuckoo Search Algorithm

2021

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“…All the pipes are manufactured of polyvinyl chloride, and Hazen-Williams roughness coefficient of 130 is used in all pipes. Minimum pressure head of all demand nodes chosen is 6 m. However, it is 5.75 m for node (Pankaj et al 2020).…”

Section: Pamapur Wdnmentioning

confidence: 99%

“…They suggested a new criterion for comparing the efficacy of pareto fronts. Pankaj et al (2020) applied self-adaptive cuckoo search optimization technique to design WDN in single objective and multiobjective scenario. Two loop, Hanoi network and Pamapur network, India are considered.…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Cluster Analysis and Decision Making Algorithms for Choosing the Optimal Water Distribution Network Design

Arunachalam

Raju

Naidu

2021

Preprint

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Non-dominated Sorting Genetic Algorithm (NSGA-II) is employed to facilitate multi-objective optimization in Water Distribution Network(s) (WDN) framework for a benchmark problem of Hanoi Network and a real-world problem, Pamapur Network, Telangana, India. Maximization of resilience, minimization of cost and minimization of leakages are considered in a multiobjective context which result in generation of Non-dominated WDN Strategies (NWDNS). In order to simplify the decision making process of engineers, Fuzzy Cluster Analysis (FCA) is employed to categorize NWDNS into groups. Thereafter, Dunn’s Cluster Validity Index (DCVI) is used for identification of optimal cluster size. Representative NWDNS i.e. RNWDNS for each sub-cluster is based on the maximum membership of NWDNS in the respective sub-cluster. Ranking of RNWDNS is performed with three decision making algorithms, namely, Preference Ranking Organization METHod for Enrichment of Evaluations-2 (PROMETHEE-2), Multicriterion Q-analysis-2 (MCQA-2) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Additive ranking rule is also applied to facilitate obtained ranks in group decision making environment to arrive at the optimal WDN. It is observed that 1020 NWDNS generated for Hanoi network are optimally classified into 18 clusters based on DCVI, and A13 representing RNWDNS 37 is found preferable. Whereas 272 NWDNS generated for Pamapur network are classified into 9 clusters where S6 is preferred (representing RNWDNS 203).

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Improving Approaches for Meta-heuristic Algorithms: A Brief Overview

Yaghoubzadeh-Bavandpour

Bozorg‐Haddad

Zolghadr‐Asli

et al. 2022

Studies in Computational Intelligence

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Self-Adaptive Cuckoo Search Algorithm for Optimal Design of Water Distribution Systems

Cited by 25 publications

References 44 publications

Fuzzy optimization-based Water Distribution Network design using Self-Adaptive Cuckoo Search Algorithm

Fuzzy optimization-based Water Distribution Network design using Self-Adaptive Cuckoo Search Algorithm

Application of Fuzzy Cluster Analysis and Decision Making Algorithms for Choosing the Optimal Water Distribution Network Design

Improving Approaches for Meta-heuristic Algorithms: A Brief Overview

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