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Article

A Multimodal Smart Quantum Particle Swarm Optimization for Electromagnetic Design Optimization Problems

1
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
2
Department of Electronics, Islamia College University, Peshawar 25000, Pakistan
*
Author to whom correspondence should be addressed.
Academic Editor: Anna Richelli
Energies 2021, 14(15), 4613; https://doi.org/10.3390/en14154613
Received: 13 June 2021 / Revised: 20 July 2021 / Accepted: 21 July 2021 / Published: 30 July 2021
Electromagnetic design problems are generally formulated as nonlinear programming problems with multimodal objective functions and continuous variables. These can be solved by either a deterministic or a stochastic optimization algorithm. Recently, many intelligent optimization algorithms, such as particle swarm optimization (PSO), genetic algorithm (GA) and artificial bee colony (ABC), have been proposed and applied to electromagnetic design problems with promising results. However, there is no universal algorithm which can be used to solve engineering design problems. In this paper, a stochastic smart quantum particle swarm optimization (SQPSO) algorithm is introduced. In the proposed SQPSO, to tackle the premature convergence problem in order to improve the global search ability, a smart particle and a memory archive are adopted instead of mutation operations. Moreover, to enhance the exploration searching ability, a new set of random numbers and control parameters are introduced. Experimental results validate that the adopted control policy in this work can achieve a good balance between exploration and exploitation. Finally, the SQPSO has been tested on well-known optimization benchmark functions and implemented on the electromagnetic TEAM workshop problem 22. The simulation result shows an outstanding capability of the proposed algorithm in speeding convergence compared to other algorithms. View Full-Text
Keywords: smart quantum particle; particle swarm optimization; design optimization; electromagnetic problem smart quantum particle; particle swarm optimization; design optimization; electromagnetic problem
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MDPI and ACS Style

Fahad, S.; Yang, S.; Khan, R.A.; Khan, S.; Khan, S.A. A Multimodal Smart Quantum Particle Swarm Optimization for Electromagnetic Design Optimization Problems. Energies 2021, 14, 4613. https://doi.org/10.3390/en14154613

AMA Style

Fahad S, Yang S, Khan RA, Khan S, Khan SA. A Multimodal Smart Quantum Particle Swarm Optimization for Electromagnetic Design Optimization Problems. Energies. 2021; 14(15):4613. https://doi.org/10.3390/en14154613

Chicago/Turabian Style

Fahad, Shah, Shiyou Yang, Rehan A. Khan, Shafiullah Khan, and Shoaib A. Khan 2021. "A Multimodal Smart Quantum Particle Swarm Optimization for Electromagnetic Design Optimization Problems" Energies 14, no. 15: 4613. https://doi.org/10.3390/en14154613

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