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Whale optimisation algorithm with role labour division for multimodal optimisation

International Journal of Innovative Computing and Applications 2024年第1期15卷 26-37页

作者： Wu, Bowen Xiao, Renbin School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan430074 China Institute of Artificial Intelligence Huazhong University of Science and Technology Hubei Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control Ministry of Education of China Huazhong University of Science and Technology Hubei Wuhan430074 China

The multimodal optimisation problem challenges the balance between diversity and convergence, which poses a great degree of challenge to traditional population-based intelligence optimisers. The whale optimisation algorithm has the limitation of easily falling into local optimum when facing multimodal optimisation. To address this problem, this paper proposes a whale optimisation algorithm with role labour division (WOA-RDL). In WOA-RDL, a multi-stage role division of labour mechanism is designed to divide the optimisation process into two stages of group hunting. In the first stage, the task allocation in the hunting process is considered as two types of search tasks: exploration and exploitation. The external environmental stimulus of the task and the internal response threshold of the individual were designed to allow individuals to switch between exploration and exploitation tasks flexibly. In the second stage, the distribution mechanism of different roles was designed to simulate the 'strong to weak' distribution rule for the distribution of results after the hunt. The elite roles are selected to further strengthen their capabilities or remain robust, while the inferior roles are predicted and eliminated to improve the overall optimisation of the population and reduce the risk of falling into a local optimum. The results of the optimisation experiments using multimodal, unimodal, CEC2017 combined functions and CEC2009 dynamic functions to validate the effectiveness of the algorithm. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： Optimization algorithms

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A Novel Structure in PUMA Array for Bandwidth Broadening and Profile Reduction 16

A Novel Structure in PUMA Array for Bandwidth Broadening and...

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16th UK-Europe-China Workshop on Millimetre Waves and Terahertz Technologies, UCMMT 2023

作者： Yao, Chenyang Wang, Hao Cao, Jianyin Li, Xiang Qi, Liang Tian, Zhen Nanjing University of Science and Technology Nanjing China Nanhu Laboratory Jiaxing China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing China

ISBN: (纸本)9798350339406

This paper proposed a new method of expanding the bandwidth of PUMA array. By attaching bottom-open vias below the coupling plate, lower operating frequency is available without increasing the profile. This design ultimately performs 8.1:1 bandwidth (2.59-21.0 GHz) at broadside, a scanning range of ±75° in the E-plane with 6.6:1 bandwidth (2.68-17.65 GHz), ±50° in the H-plane with 7.4:1 bandwidth (2.58-19.03 GHz) and ±60° in the D-plane with 7:1 bandwidth (2.6-18.2 GHz) at an overall profile of 0.054λL. © 2023 IEEE.

关键词： Bandwidth

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Design of millimeter wave wideband circularly polarized horn antenna based on rectangular waveguide polarizer 15

Design of millimeter wave wideband circularly polarized horn...

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15th International Conference on Microwave and Millimeter Wave technology, ICMMT 2023

作者： Quan, Shuanglong Tian, Zhen Li, Xiang Qi, Liang Wang, Hao Nanjing University of Science and Technology Nanjing China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing China Nanhu Laboratory Jiaxing China

ISBN: (纸本)9798350338874

In this paper, a millimeter wave (mmW) wide band right-handed circularly polarized (RHCP) horn antenna is designed with a polarizer in the form of a rectangular waveguide (RW). The antenna is fed by a standard RW WR-10 waveguide port. The designed polarizer can convert the antenna excitation signal from linearly polarized (LP) to circularly polarized (CP). The antenna is analyzed, modeled and simulated. The simulation results show that the S11 ≤-22.13dB, the axial ratio (AR) ≤3dB and the RHCP gain ≥15dBi in the range of 35.3% relative bandwidth (77GHz-110GHz). The proposed antenna is broadband and circularly polarized, and would be widely used in satellite communications and 5G mmW communications. © 2023 IEEE.

关键词： Millimeter waves

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Airfoil Aerodynamic Force Prediction Based on Graph Neural Networks 43

Airfoil Aerodynamic Force Prediction Based on Graph Neural N...

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43rd Chinese control Conference, CCC 2024

作者： Wang, Guoqing Cao, Junzhe Dalian University of Technology Control Science and Engineering Dalian116024 China Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China

ISBN: (纸本)9789887581581

Aerodynamic force prediction is an important application of deep learning in the field of fluid mechanics. In this paper, a light graph neural network model with residual connections named LRGCN is designed to speed the computational process of the aerodynamic prediction. Comparing with other graph convolutional networks, the LRGCN reduces redundant operations and introduces skip connections, overcomes the limitations of traditional machine learning methods that require geometric airfoil parameters. By using CFD simulation, a dataset of aerodynamic forces for airfoil profiles was generated, where the nodes and edges of the flow field grids are abstracted to build a graph structure for aerodynamic force prediction. This study takes variations of the airfoil shape and pitch angle into consideration, enabling the prediction of lift and drag to be fast. In the numerical experiments, the LRGCN achieves the result that normalized test set loss is around 10-3 and the R2 is higher than 90%, which exhibits stronger robustness and higher accuracy than three other current convolutional models. And the LRGCN runs 60 times faster than the normal CFD method for the same prediction task, which significantly reduces time costs. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Computational fluid dynamics

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Design of wideband circularly polarized horn antenna for millimeter wave applications 15

Design of wideband circularly polarized horn antenna for mil...

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15th International Conference on Microwave and Millimeter Wave technology, ICMMT 2023

ISBN: (纸本)9798350338874

In this paper, a millimeter-wave (mmW) wide band right-handed circularly polarized (RHCP) horn antenna is designed based on a polarizer with two 90 degree slots loaded on the inner wall of a circular waveguide. The antenna is fed by a standard rectangular waveguide WR-10 waveguide port, and the antenna excitation signal is converted from linear to circular polarization by a circular polarizer. The principle of the antenna is analyzed, the model is simulated and the parameters are optimized, and the design method for obtaining the left-handed circularly polarized (LHCP) antenna based on the RHCP antenna is given. The simulation results show that the reflectance of the antenna is not higher than -24.5 dB, the RHCP gain is greater than or equal to 13.0 dBi, and the axial ratio (AR) is not higher than 3 dB in the range of 84-110 GHz (26.8% relative bandwidth). The proposed antenna is broadband and circularly polarized, and can be widely used in broadband mmW applications. © 2023 IEEE.

关键词： Millimeter waves

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Multi-frame Temporal Modeling for Multi-object Tracking in Satellite Video 2

Multi-frame Temporal Modeling for Multi-object Tracking in S...

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2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Chai, Bingqian Qiao, Tingting Xie, Baorong Wang, Jue Liu, Wenchao Beijing Institute of Technology National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing Beijing China Shanghai Aerospace Electronic Technology Institute Shanghai China

ISBN: (纸本)9798331515669

With the advancement of remote sensing technology, video satellites have played an increasingly important role in both military and civilian domains, and they are widely used in areas such as military guidance, intelligent transportation, and disaster response. Multi-object tracking (MOT) in satellite video is a crucial research topic in these fields and has made certain progress. However, due to the difficulty of tracking objects in complex scene and low resolution, current MOT methods face issues of low accuracy in satellite video. In this work, we propose a joint-detection-and-tracking method called multi-frame temporal MOT (MFT-MOT). Firstly, a heatmap guided multi-frame temporal modeling method is introduced to extract features with temporal semantic information while suppressing background noise. Then, we utilize a weights-shared encoder-decoder network to facilitate interaction of temporal and spatial information and capture inter-frame object motion tracks at low resolution. Experiments on SAT-MTB dataset shows the effectiveness of our method. © 2024 IEEE.

关键词： Object tracking

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Flow Field Prediction of Variable Geometry using a Novel Deep CNN Model with Dual-Feature of Flow Regions 43

Flow Field Prediction of Variable Geometry using a Novel Dee...

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43rd Chinese control Conference, CCC 2024

作者： Zhang, Mai J., Cao Dalian University of Technology Control Science and Engineering Dalian116024 China Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China

ISBN: (纸本)9789887581581

Flow field prediction of variable geometry aims for the precise prediction of varying flow fields with complex geometric shapes and their variations. By combining a novel deep convolutional neural network (CNN) model with a Computational Fluid Dynamics (CFD) method, the solution of the Navier-Stokes equation can be effectively approximated with a significant reduction in the corresponding computation time cost. This paper proposes an approach named AM UNet-3 for predicting the flow field of variable geometry, which can directly predict the expected flow field of new shapes after the training of deep CNN through extracting and identifying dual features of flow field regions: geometric information features and multi-class channel features. The AM UNet-3 is a convolutional neural network model that combines a U-Net variant structure with three independent decoders and attention mechanisms. The framework of U-Net can learn the complete numerical solutions of the N-S equations to velocity and pressure fields from ground-truth data. The three independent decoders are used to output the pressure field and the velocity components in the x-direction and y-direction respectively. The embedded channel attention and spatial attention mechanisms can enhance the ability of AM UNet-3 to extract fast-changing boundary layer characteristics. The performances of AM UNet-3, U-Net and UNet-3 are tested and compared on a dataset consisting of flow field data with 981 different geometric shapes. Experiment results show that AM UNet-3 gets the fastest inference and the lowest prediction error in the three methods. Compared with the standard CFD method, AM UNet-3 is able to speed up the computation more than three orders of magnitude. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Computational fluid dynamics

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A Spatial Non-cooperative Target Image Semantic Segmentation Algorithm with Improved Deeplab V3+ 22

A Spatial Non-cooperative Target Image Semantic Segmentation...

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22nd IEEE International Conference on Communication technology, ICCT 2022

作者： Qu, Zonghua Wei, Chunling Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory Beijing China

ISBN: (纸本)9781665470674

Faced with a large number of non-cooperative targets in space, more complete image data can be obtained at a closer distance. Image segmentation can be performed to obtain morphological information on the relevant targets, which can provide reliable data support for subsequent tasks such as situational awareness. In this paper, we improve the Deeplab V3+ network by adding Convolutional Block Attention Module (CBAM), which incorporates the channel attention mechanism and the spatial attention mechanism, and verify that the algorithm has good performance and can be used for practical applications by segmenting the spacecraft attitude estimation dataset from the European space Agency space Rendezvous laboratory. © 2022 IEEE.

关键词： Image segmentation

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Simulation of an Adaptive Model Based on AIC and BIC ARIMA Predictions

Simulation of an Adaptive Model Based on AIC and BIC ARIMA P...

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2022 International Conference on Applied Mathematics and Digital Simulation, AMDS 2022

作者： Zhang, Ying Meng, Gong National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing China Beijing Aerospace Automatic Control Institute Beijing China

ARIMA model forecasting algorithm is a commonly used time series forecasting algorithm, this paper first obtains a stable sequence through differential operation, and then obtains a stable sequence from the AR model, as the MA model, and even the ARIMA model. Select the appropriate model for prediction and use it for adaptive mode model design. In the field of machine learning, the complexity of the model is likely to increase, while the accuracy of the model improves, and the models with a complex structure usually cause the following overfitting problem. In order to balance the complexity and the accuracy of the model reasonably, using appropriate indicators AIC (Akaike Information Criterion), as well as BIC (Bayesian information criterion), to make the judgments, which is achieved by eliciting penalty terms in the paper, and the established ARIMA (1,1,2) model meets the requirements. © Published under licence by IOP Publishing Ltd.

关键词： Forecasting

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Application of Grey Wolf Optimization Algorithm in Tuning controller Parameters of Hypersonic Vehicle 41

Application of Grey Wolf Optimization Algorithm in Tuning Co...

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第41届中国控制会议

作者： Can Tian Shaobo Ni Zhaolei Wang Yuan Zhang National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing Aerospace Automatic Control Institute

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

There are many adjustable parameters in the control method of predictive sliding mode control(PSMC) law and linear extended state observer(LESO) for hypersonic vehicle speed and altitude,and the adjustable parameters influence each other on the control effect,and the speed and altitude channels of the aircraft are coupled with each other,so the controller parameters cannot be independently tuned.A method of automatically tuning controller parameters by using grey wolf optimization(GWO) algorithm is ***,the fitness function containing the desired control effect is designed,and then the appropriate number of search agent and iteration times are *** simulation results show that the control effect of the controller with GWO tuning parameters is obviously better than that of the controller with experience tuning parameters,and the expected control effect can be achieved under the condition of adding parameter deviation and actuator limitation.

关键词： predictive sliding mode control linear extended state observer Grey Wolf optimization algorithm Auto-tuning controller parameters

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