Modified stem cells algorithm for Loney's solenoid benchmark problem

Taherdangkoo, Mohammad

doi:10.3233/tad-131675

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…Mohammad proposed a modified version of the classical stem cells method by using β distribution in place of uniform distribution to solve the optimization function [30].…”

Section: F) Modified Stem Cells Algorithmmentioning

confidence: 99%

An improved gravitational search algorithm for solving an electromagnetic design problem

Khan

Ling

2020

J Comput Electron

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Gravitational Search Algorithm (GSA) is a novel optimization technique that depends upon the law of motion and law of gravity of masses interaction between the agents. GSA has shown outstanding performance but has a drawback of having a slow exploitation process due to the fitness function influence on masses of the agents. As a result, after each iteration, the masses are getting heavier and restricts the movement. For that reason, masses cancel out the gravitational forces on each other and restricting them from quickly exploiting the optimum. To overcome this limitation, an improved GSA (IGSA) with a modified exploitation strategy is proposed in this paper. The primary aim of modification is to enhance the proficiency of the algorithm in terms of faster convergence and avoid premature convergence. An electromagnetic optimization problem is used to validate the performance of the presented method. Simulation results confirmed that the proposed method has outstanding results in solving the Loney's Solenoid design problem and solution stability is much better as compared to the Standard gravitational search algorithm and various other state-of-the-art techniques previously applied for solving this problem.

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“…Mohammad proposed a modified version of the classical stem cells method by using β distribution in place of uniform distribution to solve the optimization function [30].…”

Section: F) Modified Stem Cells Algorithmmentioning

confidence: 99%

An improved gravitational search algorithm for solving an electromagnetic design problem

Khan

Ling

2020

J Comput Electron

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“…where F is the objective function and can be defined as: The objective function is very noisy, because the field is computed in a particular way in which coils are represented by four current sheets (each coil has been divided into four current sheets along the radial direction [12]) and B max and B min are evaluated in ten uniformly spaced points in [−z 0 , 0].…”

Section: Loney's Solenoid Benchmark Problemmentioning

confidence: 99%

“…Taherdangkoo [12] has studied on modification of SCA for optimized the electromagnetic device design.…”

Section: Introductionmentioning

confidence: 99%

Modified BNMR algorithm applied to Loney's solenoid benchmark problem

Taherdangkoo¹,

Taherdangkoo

2014

International Journal of Applied Electromagnetics and Mechanics

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We propose a new method for solving the Loney's solenoid benchmark problem based on Blind, Naked Mole-Rats (BNMR) algorithm. The key idea of the algorithm is using a β-distribution that can efficiently achieve the best solution for the position and size of two correcting coils in the famous Loney's solenoid problem. The results show the superiority of the proposed method on other previously methods for electromagnetic optimization.

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“…In Ref. [10], aiming at the design requirement of location and volume for two correcting coils, the optimization method based on stem cells algorithm (SCA) was proposed. This method finally obtained the optimal solution of Loney's solenoid benchmark problem.…”

Section: Introductionmentioning

confidence: 99%

Optimization Design of DC Electromagnet Coil Considering the Power Consumption and Cost

Song,

Yang,

Chen

et al. 2024

IEEJ Transactions Elec Engng

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Electromagnet coil is mainly composed of enameled wire which wound on the coil skeleton, and the function is to convert the electrical signal into a magnetic signal, which is a very important electric‐magnetic conversion element. When designing the electromagnet coil, usually only the total winding turns and winding inner diameter can be calculated, and the specific design parameters such as the diameter of copper wire, paint layer thickness, and winding turns of each layer can only be selected through experience, indicating that the design method should be improved. In addition, the unreasonable design parameters will seriously affect the power consumption and cost of coil, so it is highly necessary to improve the optimization design method. In order to solve the above problems, an optimization design method for DC electromagnet coil is proposed in this paper. This method simultaneously takes into account both power consumption and manufacturing cost, and can achieve the optimal matching of design parameters. In this paper, the structure of electromagnet coil is introduced, and the theoretical calculation model of resistance is improved first. Then, according to the expected requirements of electromagnet coil for steady current, the optimization design method is proposed and the optimal design parameters are obtained. Finally, the effectiveness of the proposed optimization design method is verified by the test platform of electromagnet coil. The results show that the electromagnet coil designed by the optimization design method fully meets the expected requirements. The relevant research results can provide reference for the optimization design of electromagnet coil, which has a certain engineering practical value. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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Modified stem cells algorithm for Loney's solenoid benchmark problem

Cited by 4 publications

References 14 publications

An improved gravitational search algorithm for solving an electromagnetic design problem

An improved gravitational search algorithm for solving an electromagnetic design problem

Modified BNMR algorithm applied to Loney's solenoid benchmark problem

Optimization Design of DC Electromagnet Coil Considering the Power Consumption and Cost

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