Multi-objective particle swarm optimization with dynamic population size

Shu Xiaoli,Liu Yanmin,Liu Jun,Yang Meilan,Zhang Qian 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.1

There are many complex multi-objective optimization problems in the real world, which are difficult to solve using traditional optimization methods. Multi-objective particle swarm optimization is one of the effective algorithms to solve such problems. This paper proposes a multi-objective particle swarm optimization with dynamic population size (D-MOPSO), which helps to compensate for the lack of convergence and diversity brought by particle swarm optimization, and makes full use of the existing resources in the search process. In D-MOPSO, population size increases or decreases depending on the resources in the archive, thereby regulating population size. On the one hand, particles are added according to local perturbations to improve particle exploration. On the other hand, the non-dominated sorting and population density are used to control the population size to prevent the excessive growth of population size. Finally, the algorithm is compared with 13 competing multi-objective optimization algorithms on four series of benchmark problems. The results show that the proposed algorithm has advantages in solving different benchmark problems.

Preparation, Microwave Absorption and Infrared Emissivity of Ni-doped ZnO/Al Powders by Coprecipitation Method in the GHz Range

Ruiwen Shu,Honglong Xing,Xiaoli Cao,Xiaoli Ji,Dexin Tan,Ying Gan 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.4

In this work, Ni-doped ZnO/Al composites were prepared by a facile chemical co-precipitation method. The morphology and structure of the as-prepared composites were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM) and X-ray photoelectron spectroscopy (XPS), respectively. It was found that the flakelike Al powders were successfully coated by Ni-doped ZnO nanoparticles with slight aggregation and Ni2+ was successfully doped into the crystal lattice of ZnO. Moreover, the effects of ZnO concentration and doped Ni concentration on the infrared emissivity of ZnO/Al composites at the waveband range of 8–14 µm were studied. The results showed that the ZnO/Al composites exhibited the lowest infrared emissivity of 0.34 with 50 wt.% ZnO concentration. Meanwhile, the electromagnetic parameters and microwave absorbing properties of Ni-doped ZnO/Al composites in the frequency range of 2–18 GHz were explored. Significantly, 12 mol.% Ni-doped ZnO/Al composites presented the lowest infrared emissivity of 0.37 and the maximum reflection loss reached -32.5 dB at 13.6 GHz with a thickness of 4.5 mm. The excellent microwave absorbing properties could be attributed to the good impedance match, crystal lattice defects and interfacial polarization. It was believed that the Ni-doped ZnO/Al composites could be used as potential infrared-microwave compatible stealth materials.

Global O(t-ρ) Synchronization of Multiple Fractional-order Neural Networks With Time Delay via Event-triggered Control

Yukun Shu,Xiaoli Ruan,Xisheng Zhan 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.10

This article investigates the global O(t-ρ) synchronization problem for multiple fractional-order neural networks (MFNNs) with time delay. By utilizing the unique properties of fractional-order calculus, namely hereditary and infinite memory, a new design scheme of the event-triggered non-Laplacian coupling control strategy is proposed. Compared with the Laplacian coupling matrix, non-Laplacian coupling matrix nondiagonal elements can be arbitrary and row sums can be same nonzero constant. With the introduced rules, by using a Razumikhin-type method, some less conservative sufficient conditions are derived to assure the global O(t-ρ) synchronization of MFNNs with time delay. Furthermore, in order to prohibit Zeno behavior in the MFNNs with time delay, lower bounds of two consecutive events are also gathered. Finally, simulation results verify the validity of the analysis.

Tiny Basic Nickel Carbonate Arrays/Reduced Graphene Oxide Composite for High-Efficiency Supercapacitor Application

Zhengmin Yu,Xiaoli Su,Denghu Wei,Shu-Juan Yao,Huiyan Ma,Hui Zhao,Xipeng Pu,Wenzhi Li,Jie Wang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.4

3D structure composite made of tiny basic nickel carbonate arrays on the surface of reduced graphene oxide nanosheets (G-NiCH) are prepared by the hydrothermal method. The specific surface area of the G-NiCH composites is twice that of single basic nickel carbonate, which is due to the tiny basic nickel carbonate arrays structure wherein each individual nanoneedle is about 20 nm in length and 2 nm in width. The G-NiCH electrodes display high-efficiency electrochemical performance with good specific capacitance (1230 F g -1) and excellent stability (100% capacitance retention after 2000 cycles). This is attributed to the synergistic effect that reduced graphene oxide offer fast electron transmission path and basic nickel carbonate act as high effective active material.

Molecular Identification of Diphyllobothrium nihonkaiense from 3 Human Cases in Heilongjiang Province with a Brief Literature Review in China

Weizhe Zhang,Fei Che,Song Tian,Jing Shu,Xiaoli Zhang 대한기생충학열대의학회 2015 The Korean Journal of Parasitology Vol.53 No.6

Enhanced Microwave Absorption Properties of CeO2 Nanoparticles Supported on Reduced Graphene Oxide

Qing Yin,Honglong Xing,Ruiwen Shu,Xiaoli Ji,Dexin Tan,Ying Gan 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.5

In this work, reduced graphene oxide/CeO2 nanocomposites (RGO/CeO2) with two different RGO contents were synthesized using a facile one-step hydrothermal method, and the microwave absorption properties of RGO/CeO2 were investigated for the first time. Morphology and structure analysis shows that the CeO2 nanoparticles are uniformly dispersed on the RGO sheets with average size of 15 nm. The as-prepared RGO/CeO2 exhibits excellent microwave absorbability. An optimal reflection loss (RL) of -32 dB is found at 17 GHz with a coating layer thickness of 1.5 mm. The product with a coating layer thickness of only 2.0 mm shows a bandwidth of 4.3 GHz, corresponding to RL at -10 dB (90% of electromagnetic wave absorption). Compared with pristine RGO or pure CeO2 nanoparticles, the reported nanocomposites achieved both wider and stronger wave absorption in the frequency range of 2–18 GHz. The enhanced microwave absorption properties are attributed to the conductive loss and dielectric loss mainly caused by the higher oxygen vacancy concentration of CeO2 in RGO/CeO2, which is demonstrated by X-ray photoelectron spectroscopy. Moreover, multiple interfacial polarizations occurring in the multi-interfaces between CeO2 and RGO sheets may be beneficial to microwave absorption. RGO/CeO2 could be used as an attractive candidate for the new type of microwave absorptive materials.

Identifying genes for resistant starch, slowly digestible starch, and rapidly digestible starch in rice using genome-wide association studies

Ning Zhang,Maike Wang,Ji Fu,Yi Shen,Yi Ding,Dianxing Wu,Xiaoli Shu,Wenjian Song 한국유전학회 2020 Genes & Genomics Vol.42 No.11

Background The digestibility of starch is important for the nutritive value of staple food. Although several genes are responsible for resistant starch (RS) and slowly digestible starch (SDS), gaps persist concerning the molecular basis of RS and SDS formation due to the complex genetic mechanisms of starch digestibility. Objectives The objective of this study was to identify new genes for starch digestibility in rice and interprete the genetic mechanisms of RS and SDS by GWAS. Methods Genome-wide association studies were conducted by associating the RS and SDS phenotypes of 104 re-sequenced rice lines to an SNP dataset of 2,288,867 sites using a compressed mixed linear model. Candidate genes were identifed according to the position of the SNPs based on data from the MSU Rice Genome Annotation Project. Results Seven quantitative trait loci (QTLs) were detected to be associated with the RS content, among which the SNP 6 m1765761 was located on Waxy. Starch branching enzymes IIa (BEIIa) close to QTL qRS-I4 was detected and further identifed as a specifc candidate gene for RS in INDICA. Two QTLs were associated with SDS, and the LOC_Os09g09360 encoding lipase was identifed as a causal gene for SDS. Conclusions GWAS is a valid strategy to genetically dissect the formation of starch digestion properties in rice. RS formation in grains is dependent on the rice type; lipid might also contribute to starch digestibility and should be an alternative factor to improve rice starch digestibility.