Exploring isospectral cantilever beams using electromagnetism inspired optimization technique

Dutta, Rajdeep; Ganguli, Ranjan; Mani, V.

doi:10.1016/j.swevo.2012.09.005

Cited by 8 publications

(4 citation statements)

References 32 publications

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“…Then, a number of initial particles (m) are randomly sampled from the feasible solution dimensions, each are taken as an N dimensional hyper-solid. Each value of a dimension in a particle is assumed to be uniformly distributed inside the upper and lower bound [16]. In this research, the tilt angle is set to be the tuning parameter which varies in the range of 0° to 90°.…”

Section: Initializationmentioning

confidence: 99%

“…Based on the electromagnetic theory, the force of one particle onto another is inversely proportional to the square of the distance between the two particles and directly proportional to the product of their charges [18]. The total force vector for a particle can be determined by condering the collective forces generated using Equation (16).…”

Section: Force Calculationmentioning

confidence: 99%

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An Electromagnetism-like Mechanism Algorithm Approach for Photovoltaic System Optimization

Tan

Koh

Tiong

et al. 2018

IJEECS

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<span lang="EN-GB">Solar energy has become one of the most studied topic in the field of renewable energy. In this paper, an artificial intelligent approach is proposed for the optimization of a photovoltaic solar energy harvesting system. An Electromagnetism-Like Mechanism Algorithm (EM) has been developed to search for the hourly optimum tilt angles for photovoltaic panels. In order to investigate the effect of the search step size on the efficiency and overall accuracy of the algorithm, the EM has also been modified into several variants with different search step size settings. Experimental findings show that EM with bigger search lengths has the advantage of reaching a near optimum tilt angle in earlier iterations but less accurate. EM with smaller step lengths, on the other hand, can hit a relatively more optimum tilt angle in the process. During the peak of the power generation at noon, EM with smaller search stes found an optimum tilt angle which yielded additional 3.17W of power compared to a fixed panel. We thus conclude that the proposed EM performs well in optimizing the tilt angle of a photovoltaic solar energy harvesting system.</span>

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Section: Initializationmentioning

confidence: 99%

Section: Force Calculationmentioning

confidence: 99%

An Electromagnetism-like Mechanism Algorithm Approach for Photovoltaic System Optimization

Tan

Koh

Tiong

et al. 2018

IJEECS

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“…Each of these particles now carries an N dimensional hyper-solid. In each of the dimension now lies uniformly distributed solution within the feasible upper and lower bound [15]. In this research, the optimization task required is to minimize the power consumption and maximize the life span of the lamps.…”

Section: The Electromagnetism-like Mechanism (Em) Algorithmmentioning

confidence: 99%

An Intelligent Control and Switching for the Optimization of Street Lighting

Tan¹,

Tiong²,

Koh³

et al. 2018

IJET

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The objective of this research is to propose an Artificial Intelligent method to optimize the performance of street lightings. The method proposed in this research is by using the Electromagnetism-Like Mechanism (EM) global optimization algorithm. The proposed EM is designed to minimize the power consumption and maximize the life span of the lamps by different switching configurations and by adjusting the intensities of the lights. Simulation results indicate that the proposed algorithm can significantly reduce the power consumption of the system and drastically increase the projected life span of the lamps used. The main power savings can be found in the early stages of the graph. This shows that the evening sun rays and twilight help illuminate the street, rendering full intensity of street lights a waste. This, in turn, significantly prolonged the lifespan of the lamps used in the street lightings. It can thus be concluded that the proposed algorithm gives significantly positive impact in optimizing the performance of a street lighting system. The search speed and accuracies of the EM can be further improved by modifying or incorporating other search mechanism into the EM in future extension of the research.

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“…The proposed local search is implemented using the chaotic optimization procedure and this modified EMO is tested using some problems and the results are compared with the actual EMO process to prove its efficiency. The EMO algorithm is applied in [22] to produce isospectral non-uniform beams corresponding to a given uniform beam. The authors propose an error function to compute the separation between the spectra of the uniform and the non-uniform beam and this difference is minimized using the EMO method.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Electromagnetism Optimization (FEMO) and its application in biomedical image segmentation

Chakraborty

Mali

2020

Applied Soft Computing

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In this work, a new unsupervised classification approach is proposed for the biomedical image segmentation. The proposed method will be known as Fuzzy Electromagnetism Optimization (FEMO). As the name suggests, the proposed approach is based on the electromagnetism-like optimization (EMO) method. The EMO method is extended, modified, and combined with the modified type 2 fuzzy C-Means algorithm to improve its efficiency especially for biomedical image segmentation. The proposed FEMO method uses fuzzy membership and the electromagnetism-like optimization method to locate the optimal positions for the cluster centers. The proposed FEMO approach does not have any dependency on the initial selection of the cluster centers. Moreover, this method is suitable for the biomedical images of different modalities. This method is compared with some standard metaheuristics and evolutionary methods (e.g. Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Electromagnetism-like optimization (EMO), Ant Colony Optimization (ACO), etc.) based image segmentation approaches. Four different indices Davies–Bouldin, Xie–Beni, Dunn and index are used for the comparison and evaluation purpose. For the GA, PSO, ACO, EMO and the proposed FEMO approach, the optimal average value of the Davies–Bouldin index is 1.833578359 (8 clusters), 1.669359475 (3 clusters), 1.623119284 (3 clusters), 1.647743907 (4 clusters) and 1.456889343 (3 clusters) respectively. It shows that the proposed approach can efficiently determine the optimal clusters. Moreover, the results of the other quantitative indices are quite promising for the proposed approach compared to the other approaches The detailed comparison is performed in both qualitative and quantitative manner and it is found that the proposed method outperforms some of the existing methods concerning some standard evaluation parameters.

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Exploring isospectral cantilever beams using electromagnetism inspired optimization technique

Cited by 8 publications

References 32 publications

An Electromagnetism-like Mechanism Algorithm Approach for Photovoltaic System Optimization

An Electromagnetism-like Mechanism Algorithm Approach for Photovoltaic System Optimization

An Intelligent Control and Switching for the Optimization of Street Lighting

Fuzzy Electromagnetism Optimization (FEMO) and its application in biomedical image segmentation

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