An Improved Differential Evolution Algorithm Adopting $\lambda$-Best Mutation Strategy for Global Optimization of Electromagnetic Devices

Baatar, Nyambayar; Zhang, Dianhai; Koh, Chang-Soon

doi:10.1109/tmag.2013.2240284

Cited by 27 publications

(15 citation statements)

References 9 publications

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“…To demonstrate its superiority, PSOvm is compared to the conventional CCPSO [4], a DE algorithm based on the popular DE/rand/1/bin strategy [5], and the conventional IWO [2]. All the methods use populations of 20 particles (N=20…”

Section: Pso With Velocity Mutationmentioning

confidence: 99%

“…In PSOvm, a mutation mechanism is applied on the velocities of those particles that are not able to find a better position. To demonstrate its superiority in terms of performance, PSOvm is compared to well-known evolutionary optimization methods, such as the conventional PSO [4], the differential evolution (DE) [5], the invasive weed optimization (IWO) [2], and a typical genetic algorithm (GA). The comparison is performed by applying them on several test functions and also to the exponential LPA design.…”

Section: Introductionmentioning

confidence: 99%

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Exponential Log-Periodic Antenna Design Using Improved Particle Swarm Optimization With Velocity Mutation

et al. 2017

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An improved particle swarm optimization (PSO) method applied to the design of a new wideband log-periodic antenna (LPA) geometry is introduced. This new PSO variant, called PSO with velocity mutation (PSOvm), induces mutation on the velocities of those particles that cannot improve their position. The proposed LPA consists of wire dipoles with lengths and distances varied according to an exponential rule, which is defined by two specific parameters called length factor and spacing factor. The LPA is optimized for operation in 790-6000MHz frequency range, in order to cover the most usual wireless services in practice, and also to provide in this range the highest possible forward gain, gain flatness below 2dB, secondary lobe level below-20dB with respect to the main lobe peak, and standing wave ratio below 2. To demonstrate its superiority in terms of performance, PSOvm is compared to well-known optimization methods. The comparison is performed by applying all the methods on several test functions and also on the LPA optimization problem defined by the above-mentioned requirements. Furthermore, the radiation characteristics of the PSOvm-based LPA give prominence to the effectiveness of the proposed exponential geometry compared to the traditional Carrel's geometry.

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Section: Pso With Velocity Mutationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exponential Log-Periodic Antenna Design Using Improved Particle Swarm Optimization With Velocity Mutation

et al. 2017

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“…Up to now, many studies have demonstrated that it converges fast is robust and simple to implement, and requires only a few control parameters. It has been widely employed for optimization of electromagnetic devices and has achieved many improvements [13], [14].…”

Section: Core Materials Selectionmentioning

confidence: 99%

“…It starts by initializing the population randomly in the design space. The individuals in the population are then perturbed with others through mutation and crossover operators, and a new population consisting of the most promising solution can be generated by applying a selection criterion [12], [13].…”

Section: Core Materials Selectionmentioning

confidence: 99%

Optimal Design of High-Frequency Magnetic Links for Power Converters Used in Grid-Connected Renewable Energy Systems

et al. 2014

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Recently the high-frequency common magnetic-links instead of common dc-links with advanced magnetic materials, such as nanocrystalline and amorphous materials have been considered as viable candidates for the development of medium-voltage power converters. This offers a new route of step-up-transformer-less compact and lightweight direct grid integration of renewable generation systems. Most importantly, it minimizes the voltage imbalance and common mode issues of the converter systems. However, the electromagnetic design of the high-frequency common magnetic-links is a multi-physics problem and thereby affects the system efficiency and cost. In this paper, an optimization technique is proposed and verified with the prototype magnetic-links. The design and optimization, implementation, test platform, and the experimental test results are analyzed and discussed.

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“…Nikhil et al [20] proposed an improving differential evolution through borrowing of operations from a benchmark solver G3-PCX. Baatar et al [21] proposed an improved differential evolution algorithm adopting a new mutation strategy, 'DEλ-best1,' to increase the performance of global optimization. The suggested mutation strategy guides the population to the feasible region of various constraint optimization problems.…”

Section: Introductionmentioning

confidence: 99%

Research on an Improved Differential Evolution Algorithm based on Three Strategies for Solving Complex Function

Hao¹

2015

IJSH

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For the shortcomings of differential evolution algorithm(DE), such as the low convergence rate in the late evolution, easy to trap into the local optimal solution, and weak situation of the global search ability and the stability of optimization, an improved differential evolution algorithm based on multi-population and dynamic local search(MPDLSDE) is proposed in this paper. In the MPDLSDE algorithm, different populations select different mutation operation model in order to obtain superiority reciprocity between different models in the process of evolution. And the random selected method and small probability perturbation are used to increase the diversity of population and balance the exploitation ability and exploration ability of the algorithm. Then dynamic local search method is used to solve the current optimal solution in order to speed up the convergence rate. Several well-known benchmark functions are selected to validate the efficiency of the MPDLSDE algorithm. The simulation experiment and comparative analysis results show that the MPDLSDE algorithm can enhance the global convergence ability and get the high accuracy solution in high dimensional complex optimization problems.

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An Improved Differential Evolution Algorithm Adopting $\lambda$-Best Mutation Strategy for Global Optimization of Electromagnetic Devices

Cited by 27 publications

References 9 publications

Exponential Log-Periodic Antenna Design Using Improved Particle Swarm Optimization With Velocity Mutation

Exponential Log-Periodic Antenna Design Using Improved Particle Swarm Optimization With Velocity Mutation

Optimal Design of High-Frequency Magnetic Links for Power Converters Used in Grid-Connected Renewable Energy Systems

Research on an Improved Differential Evolution Algorithm based on Three Strategies for Solving Complex Function

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