Correlations Between the Scaling Factor and Fitness Values in Differential Evolution

Zhu, Xiangrong; Zhang, Hao; Gao, Yinghui

doi:10.1109/access.2020.2973460

Cited by 7 publications

(6 citation statements)

References 34 publications

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“…On the basis of the traditional DE algorithm, the scaling factor adaptive differential evolution algorithm (PFHDE) proposed in Zhu et al's work [18] is used to optimize the design of regional navigation constellation. The number of iterations is set to 10000.…”

Section: Simulation and Results Analysismentioning

confidence: 99%

LEO Small-Scale Experimental Regional Navigation Constellation Design and Optimization

Liu,

Wang

2023

J. Phys.: Conf. Ser.

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In order to demonstrate the key functionalities of large-scale LEO navigation constellations, this paper investigates the small-scale LEO experimental constellation design problem. The major requirements include achieving quadruple coverage of specific ground target areas. The regional navigation constellation consists of four satellites distributed on two orbit planes. Considering the sustainable regional navigation, it is expected that the orbits of the satellites are regressional such that it takes little effort for the constellation to cover the designated region. In this way, the structure of the optimization problem is set up, which is constrained by the quadruple coverage and accuracy requirements. It takes the maximum task time as the objective function. The differential evolution algorithm (DE) is utilized to solve the optimization problem. The optimal regional navigation constellation design scheme satisfying the constraints is obtained. The simulation results show that the regional navigation constellation designed by this method can meet the predetermined requirements.

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Section: Simulation and Results Analysismentioning

confidence: 99%

LEO Small-Scale Experimental Regional Navigation Constellation Design and Optimization

Liu,

Wang

2023

J. Phys.: Conf. Ser.

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“…The various values are essential for different sub-bands. 39 The input fingerprint images are depicted in Figure 4 and Table 1 shows the performance results for different methods.…”

Section: Resultsmentioning

confidence: 99%

“…A value is a key factor in the optimization parameter computation using mutation‐based algorithms. The various values are essential for different sub‐bands 39 …”

Section: Resultsmentioning

confidence: 99%

Security‐based teleradiology in DICOM used two‐level DWT based optimization watermarking

Shanmugam¹,

Nagarajan²

2022

Concurrency and Computation

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The electronic transmission of radiographic images from one geographical location to another location is known as teleradiology. Radiological image processing issues occurred during the transmission across various medical image workstations have been handled by this approach, in order to provide various health care activities. (i.e., diagnosis, medical practicing, consulting second opinion, or treatment and monitor a patient). The major difficulties of remote transmission process are privacy, safety, image retention, etc. A noise-tolerant signal is being implanted with a digital watermark furtively (e.g., an image, symbol, audio, video, etc.), concerning the typical identification of the signal's patent. The intention of utilizing digital watermarks is either to validate the carrier signal's authenticity and ethics or to reveal its patent holder's identity, to provide protected transmission. In this work, watermarking approach is implemented to integrate biometrics with cryptography. The entropy-based fingerprint feature has been extracted for generating the key to process the cryptography, and digital imaging and communications in medicine (DICOM) images. To obtain secure transmission, two-level discrete wavelet transform method is employed for watermarking the cover image with encrypted image. Subsequently, the receiver can extract the watermarked image by using watermarking keys. This method is proposed to access the diagnostic image with privacy, accessibility, and reliability. The anticipated outputs of the proposed approach have been assessed based on factors such as structural similarity index measures (SSIM), normalized correlations (NC), and peak-signal-to-noise ratio (PSNR).

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“…x [50] are used to describe the relative motion of two spacecraft with respect to the reference rotating coordinate system, and the matrix A(t) can be expressed by Equation (15).…”

Section: Problem Formulation and Parameters Settingmentioning

confidence: 99%

“…Typical mechanisms in this type of algorithm include selection, crossover and mutation, which have been extensively embedded in other algorithms to improve their performance [14]. To date, improved evolutionary algorithms are still studied by researcher [15]. The hybridization of evolutionary algorithms and local search operators produces the memetic algorithm (MA) [16], in which the local search is used to improve search efficiency.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Optimization Algorithm and Applications of Spacecraft Trajectory Optimization

Shi

Zhao

2022

Aerospace

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The pursuit of excellent performance in meta-heuristic algorithms has led to a myriad of extensive and profound research and achievements. Notably, many space mission planning problems are solved with the help of meta-heuristic algorithms, and relevant studies continue to appear. This paper introduces a hierarchical optimization frame in which two types of particles—B-particles and S-particles—synergistically search for the optima. Global exploration relies on B-particles, whose motional direction and step length are designed independently. S-particles are for fine local exploitation near the current best B-particle. Two specific algorithms are designed according to this frame. New variants of classical benchmark functions are used to better test the proposed algorithms. Furthermore, two spacecraft trajectory optimization problems, spacecraft multi-impulse orbit transfer and the pursuit-evasion game of two spacecraft, are employed to examine the applicability of the proposed algorithms. The simulation results indicate that the hierarchical optimization algorithms perform well on given trials and have great potential for space mission planning.

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Correlations Between the Scaling Factor and Fitness Values in Differential Evolution

Cited by 7 publications

References 34 publications

LEO Small-Scale Experimental Regional Navigation Constellation Design and Optimization

LEO Small-Scale Experimental Regional Navigation Constellation Design and Optimization

Security‐based teleradiology in DICOM used two‐level DWT based optimization watermarking

Hierarchical Optimization Algorithm and Applications of Spacecraft Trajectory Optimization

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