PV cell and module efficient parameters estimation using Evaporation Rate based Water Cycle Algorithm

2017 ◽  
Vol 35 ◽  
pp. 93-110 ◽  
Author(s):  
Dhruv Kler ◽  
Pallavi Sharma ◽  
Ashish Banerjee ◽  
K.P.S. Rana ◽  
Vineet Kumar
Keyword(s):  
Evaporation Rate ◽  
Water Cycle ◽  
Parameters Estimation ◽  
Water Cycle Algorithm ◽  
Pv Cell

Water Cycle Algorithm for Parameters Estimation of Solar Photovoltaic Model

2019 ◽  
Vol 7 (3) ◽  
pp. 117
Author(s):  
Abeer Shaban Omar ◽  
Hany M. Hasanien ◽  
Ahmed Al-Durra ◽  
Walid H. Abd El-Hameed
Keyword(s):  
Water Cycle ◽  
Parameters Estimation ◽  
Solar Photovoltaic ◽  
Water Cycle Algorithm

Prioritizing the Surgical Waiting List-Cosine Consistency Index: An Optimized Framework for Prioritizing Surgical Waiting List

2020 ◽  
Vol 10 (12) ◽  
pp. 2876-2892
Author(s):  
Hemant Petwal ◽  
Rinkle Rani
Keyword(s):  
Genetic Algorithm ◽  
Evaporation Rate ◽  
Water Cycle ◽  
Pairwise Comparison ◽  
Waiting List ◽  
Consistency Index ◽  
Real Patient ◽  
Pairwise Comparison Matrix ◽  
Water Cycle Algorithm ◽  
Comparison Matrix

This paper aims to examine patient prioritization challenges faced by surgeons attending to patients awaiting surgery and proposes a decision-making framework named PSWL-CCI to prioritize patients in the surgical waiting list. The proposed framework deals with two critical issues: One, to prioritize patients from the surgical waiting list. Two, to refine and optimize cosine consistency index (CCI) of inconsistent pairwise comparison matrix (PCM) and obtain consistent priorities. The judgment of surgeons on identified parameters in the term of rating helps in determining priorities from the surgical waiting list. The cosine maximization method (CM), along with the analytic hierarchy process (AHP), is used to evaluate the resulting priority. To improve inconsistent pairwise comparison matrix (PCM), a novel hybrid algorithm HMWCA (Hybrid modified water cycle algorithm), is proposed and incorporated in PSWL-CCI. The proposed algorithm exploits the feature of three traditional algorithms, namely the evaporation-based water cycle algorithm (ER-WCA), genetic algorithm, and 2-opt heuristic. In this paper, the concept of salt concentration and absorption introduced into the evaporation rate (ER) that extends ER-WCA to a modified water cycle algorithm (MWCA). MWCA iteratively modifies the entries in PCM until PCM is optimized. The genetic algorithm helps MWCA to determine the evaporation rate and enhance the rate of convergence. The 2-OPT algorithm improvises the optimal solution. The proposed algorithm is tested with different datasets, and the improved CCI values are validated through paired sample t-test. Finally, the proposed PSWL-CCI framework is validated through a case study of a real patient dataset from an orthopedic surgery department of a multispecialty hospital in India. The experimental results obtained in this study reveal that the proposed methodology and algorithms significantly improve the CCI values, thus generating optimum priorities for the patients of the surgical waiting list.

Gradient-based Water Cycle Algorithm with evaporation rate applied to chaos suppression

2017 ◽  
Vol 53 ◽  
pp. 420-440 ◽  
Author(s):  
Seyed Mehdi Abedi Pahnehkolaei ◽  
Alireza Alfi ◽  
Ali Sadollah ◽  
Joong Hoon Kim
Keyword(s):  
Evaporation Rate ◽  
Water Cycle ◽  
Water Cycle Algorithm ◽  
Chaos Suppression ◽  
Gradient Based

scholarly journals Parameter Estimation of Induction Machine Single-Cage and Double-Cage Models Using a Hybrid Simulated Annealing–Evaporation Rate Water Cycle Algorithm

Mathematics ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 1024
Author(s):  
Martin Ćalasan ◽  
Mihailo Micev ◽  
Ziad M. Ali ◽  
Ahmed F. Zobaa ◽  
Shady H. E. Abdel Aleem
Keyword(s):  
Parameter Estimation ◽  
Simulated Annealing ◽  
Equivalent Circuit ◽  
Evaporation Rate ◽  
Water Cycle ◽  
Induction Machine ◽  
Machine Parameter ◽  
Water Cycle Algorithm ◽  
Single Cage ◽  
Hybrid Simulated Annealing

This paper presents the usage of the hybrid simulated annealing—evaporation rate water cycle algorithm (SA-ERWCA) for induction machine equivalent circuit parameter estimation. The proposed algorithm is applied to nameplate data, measured data found in the literature, and data measured experimentally on a laboratory three-phase induction machine operating as an induction motor and as an induction generator. Furthermore, the proposed method is applied to both single-cage and double-cage equivalent circuit models. The accuracy and applicability of the proposed SA-ERWCA are intensively investigated, comparing the machine output characteristics determined by using SA-ERWCA parameters with corresponding characteristics obtained by using parameters determined using known methods from the literature. Also, the comparison of the SA-ERWCA with classic ERWCA and other algorithms used in the literature for induction machine parameter estimation is presented. The obtained results show that the proposed algorithm is a very effective and accurate method for induction machine parameter estimation. Furthermore, it is shown that the SA-ERWCA has the best convergence characteristics compared to other algorithms for induction machine parameter estimation in the literature.

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