Minimizing Energy of P oint Charges on a Sphere using Symbiotic Organisms Search Algorithm

Kanimozhi, G.; Rajathy, R.; Kumar, Harish

doi:10.15676/ijeei.2016.8.1.3

Cited by 13 publications

(6 citation statements)

References 17 publications

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“…Simultaneous electrochemical impedance spectroscopy (EIS) measurement of the fabricated DSSCs is time consuming, and maintaining a steady state of the DSSCs during the experiment is difficult. The temperature of the DSSCs varies due to incident radiation for a longer period . Furthermore, the analysis of EIS data requires a complex process of fitting to a suitable equivalent circuit of the impedance model and interpreting the parameters.…”

Section: Resultsmentioning

confidence: 99%

Novel Dispersion of 1D Nanofiber Fillers for Fast Ion-Conducting Nanocomposite Polymer Blend Quasi-Solid Electrolytes for Dye-Sensitized Solar Cells

Subramanian¹,

Prasad

Das

et al. 2022

ACS Omega

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Electrospun nanocomposite polymer blend poly(vinylidene difluoride-co-hexafluoropropylene) (PVDF-HFP)/poly(methyl methacrylate) (PMMA) membranes with a novel dispersion of x wt % of one-dimensional (1D) TiO2 nanofiber fillers (x = 0.0–0.8 in steps of 0.2) were developed using the electrospinning technique. The developed nanocomposite polymer membranes were activated using various redox agents such as LiI, NaI, KI, and tetrabutyl ammonium iodide (TBAI). Introduction of the 1D TiO2 nanofiber fillers improves the amorphous nature of the blended polymer membrane, as confirmed through X-ray diffraction (XRD) and Fourier transform infrared (FTIR), and yielded an electrolyte uptake of over 480% for a 6 wt % TiO2 nanofiber filler-dispersed sample. PVDF-HFP/PMMA–1D 6 wt % TiO2 nanofiber fillers with the LiI-based redox electrolyte provided a high conductivity of 2.80 × 10–2 S cm–1 and a power conversion efficiency (PCE) of 8.08% to their fabricated dye-sensitized solar cells (DSSCs). The observed better ionic conductivity and efficiency of the fabricated DSSCs could be due to the faster movement of the smaller-ionic-radius (Li) ions entrapped inside the amorphous polymer. This enhanced mobility of ions in the quasi-solid electrolyte leads to faster regeneration of the depleting electrons in the photoanode, resulting in improved efficiency. Further, the achieved high conductivity was analyzed in terms of the dynamics and relaxation mechanisms involved by the ionic charge carriers with complex impedance spectroscopy using a random barrier model and Havriliak–Negami formulation. It was observed that the high-conducting PVDF-HFP/PMMA–1D 6 wt % TiO2 nanofiber fillers with LiI-based redox electrolyte show better ac conductivity parameters such as a σ of 5.82 × 10–2 S cm–1, ωe (12685 rad s–1), τe (0.909 × 10–4 s), and n (0.578). Also, dielectric studies revealed that the high-conducting sample has a higher dielectric constant and subsequently high loss. The J–V characteristics were studied using the equivalent circuit of a single-diode model, and the parameters influencing the photovoltaic performance were determined by Symbiotic Organisms Search (SOS) algorithm. The results suggest that the high-efficient sample possesses a minimum series resistance of 1.33 Ω and a maximum shunt resistance of 997 Ω. Hence, the highest-conducting electrospun-blended polymeric nanocomposite (PVDF-HFP–PMMA–6 wt % TiO2 nanofiber fillers) with LiI-based redox agent and tert-butyl pyridine (TBP) additive as the polymer quasi-solid electrolyte nanofibrous membrane can be a better electrolyte for high-performance dye-sensitized solar cell applications.

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Section: Resultsmentioning

confidence: 99%

Novel Dispersion of 1D Nanofiber Fillers for Fast Ion-Conducting Nanocomposite Polymer Blend Quasi-Solid Electrolytes for Dye-Sensitized Solar Cells

Subramanian¹,

Prasad

Das

et al. 2022

ACS Omega

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“…It is well known that this configuration is characterized by a uniform spatial distribution of electrons, for which all electrons occupy about the same surface area of the sphere and exhibit similar distances to their first neighbours. Although formulated back in 1904, the Thomson problem remains open, and several methods have been proposed to solve it, such as gradient-descent optimization (Erber & Hockney, 1991), global optimization (Altschuler et al, 1994), simulated annealing algorithms (Xiang et al, 1997), Monte Carlo algorithms (Wales et al, 2009;Bondarenko et al, 2015) and genetic algorithms (Morris et al, 1996;Kanimozhi et al, 2016). A major difficulty is that the number of local minima grows exponentially with the number of electrons (Stillinger & Weber, 1984;Erber & Hockney, 1991).…”

Section: Methodsmentioning

confidence: 99%

“…Another difficulty is that the problem becomes computationally intensive for large numbers of electrons (say, more than 10 000), as all electrons interact with each other. This is not dealt with in most studies (such as Erber & Hockney, 1991;Altschuler et al, 1994;Xiang et al, 1997;Wales et al, 2009;Bondarenko et al, 2015;Morris et al, 1996;Kanimozhi et al, 2016), which rather focus on finding, and analysing, nearly optimal configurations for relatively small numbers of electrons (less than 1000), and it will therefore need a specific treatment.…”

Section: Methodsmentioning

confidence: 99%

Nearly uniform sampling of crystal orientations

2018

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A method is presented for generating nearly uniform distributions of threedimensional orientations in the presence of symmetry. The method is based on the Thomson problem, which consists in finding the configuration of minimal energy of N electrons located on a unit sphere -a configuration of high spatial uniformity. Orientations are represented as unit quaternions, which lie on a unit hypersphere in four-dimensional space. Expressions of the electrostatic potential energy and Coulomb's forces are derived by working in the tangent space of orientation space. Using the forces, orientations are evolved in a conventional gradient-descent optimization until equilibrium. The method is highly versatile as it can generate uniform distributions for any number of orientations and any symmetry, and even allows one to prescribe some orientations. For large numbers of orientations, the forces can be computed using only the close neighbourhoods of orientations. Even uniform distributions of as many as 10 6 orientations, such as those required for dictionary-based indexing of diffraction patterns, can be generated in reasonable computation times. The presented algorithms are implemented and distributed in the free (open-source) software package Neper.

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“…The relationships among the flowers and bees are examples of mutualism relations. Bee's moves amongst the flower and collects nectar and it became honey [20][21][22][23]. These activities profit the flower as it assists them in the pollination procedure as follows:…”

Section: Parameter Tuning Using the Sos Modelmentioning

confidence: 99%

Spider Monkey Optimization with Statistical Analysis for Robust Rainfall Prediction

Ragab¹

2022

Computers, Materials &Amp; Continua

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Rainfall prediction becomes popular in real time environment due to the developments of recent technologies. Accurate and fast rainfall predictive models can be designed by the use of machine learning (ML), statistical models, etc. Besides, feature selection approaches can be derived for eliminating the curse of dimensionality problems. In this aspect, this paper presents a novel chaotic spider money optimization with optimal kernel ridge regression (CSMO-OKRR) model for accurate rainfall prediction. The goal of the CSMO-OKRR technique is to properly predict the rainfall using the weather data. The proposed CSMO-OKRR technique encompasses three major processes namely feature selection, prediction, and parameter tuning. Initially, the CSMO algorithm is employed to derive a useful subset of features and reduce the computational complexity. In addition, the KRR model is used for the prediction of rainfall based on weather data. Lastly, the symbiotic organism search (SOS) algorithm is employed to properly tune the parameters involved in it. A series of simulations are performed to demonstrate the better performance of the CSMO-OKRR technique with respect to different measures. The simulation results reported the enhanced outcomes of the CSMO-OKRR technique with existing techniques.

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Minimizing Energy of P oint Charges on a Sphere using Symbiotic Organisms Search Algorithm

Cited by 13 publications

References 17 publications

Novel Dispersion of 1D Nanofiber Fillers for Fast Ion-Conducting Nanocomposite Polymer Blend Quasi-Solid Electrolytes for Dye-Sensitized Solar Cells

Novel Dispersion of 1D Nanofiber Fillers for Fast Ion-Conducting Nanocomposite Polymer Blend Quasi-Solid Electrolytes for Dye-Sensitized Solar Cells

Nearly uniform sampling of crystal orientations

Spider Monkey Optimization with Statistical Analysis for Robust Rainfall Prediction

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