Antenna electromagnetic optimization method and system based on non-stationary Gaussian process model
A technology of Gaussian process model and optimization method, which is applied in the direction of calculation model, biological model, design optimization/simulation, etc. It can solve problems that cannot reflect the actual problems of antennas, so as to improve the efficiency of antenna design optimization, speed up calculation efficiency, and promote rapid Optimized effect
Pending Publication Date: 2020-09-04
CHINA UNIV OF GEOSCIENCES (WUHAN)
View PDF0 Cites 2 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0008] The technical problem to be solved by the present invention is to provide an antenna electromagnetic optimization method and system based on a non-stationary Gaussian process model in view of the defect that the existing technology is based on a stationary surrogate model, which results in the inability to reflect the actual problems of the antenna.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0037] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.
[0038]Since the antenna design optimization problem has been widely concerned, and the evolutionary optimization assisted by the data-driven surrogate model has obtained satisfactory results in solving practical antenna design problems. In the evolutionary optimization assisted by on-line data-driven proxy models, first of all, the most critical scientific problem is how to choose a reasonable proxy model and improve the accuracy of the proxy model. If the established proxy model is not It can characterize the original function, causing the misleading search to converge to the wrong area instead of the optimal solution area of the original problem; since establishing an accurate surrogate model is very important for so...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses an antenna electromagnetic optimization method and system based on a non-stationary Gaussian process model, and the method comprises the steps: firstly constructing a population, carrying out the initialization setting of the scale of the population, and enabling each individual in the population to represent a training sample point; performing electromagnetic simulation onthe population to obtain a target value corresponding to each individual; then, taking the evaluated population as a training set, and selecting training data from the training set; furthermore, in the training process of the non-stationary Gaussian process model, a differential evolution algorithm is adopted to globally optimize parameters to be solved in the model; according to a random population obtained after differential evolution, selecting a potential sample point from the population through an expectation promotion strategy for electromagnetic simulation; and adding the potential sample points into the training set, and updating the non-stationary Gaussian process model until the simulation frequency is exhausted. According to the method and the system, an evolution algorithm framework assisted by a non-stationary Gaussian process model is provided, and the problem of antenna design optimization is effectively solved.
Description
technical field [0001] The invention belongs to the field of antenna optimization, and in particular relates to a method and system for improving the simulation efficiency of antenna electromagnetic optimization based on a non-stationary Gaussian model. Background technique [0002] Antennas are widely used in communication, radar, electronic countermeasures and other fields as energy receiving and converting equipment. Antennas can realize functions such as high-security radar, electronic warfare and wireless communication. Therefore, research on antennas has been widely recognized. In the practice of antenna design, the design of the antenna comes down to the optimization problem, and the optimization algorithm is an effective way to solve this kind of problem. The optimization algorithms usually involved include traditional optimization methods and artificial intelligence optimization methods. [0003] Traditional optimization methods (Newton method, conjugate function ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06N3/00
CPCG06F30/20G06N3/006
Inventor 呼彩娥曾三友
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)