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Multi-objective optimization solving method and system based on crowding degree

A multi-objective optimization and crowding degree technology, applied in multi-objective optimization, special data processing applications, geometric CAD, etc., can solve problems such as unfavorable Pareto solution set evaluation, regardless of Pareto solution set distribution, etc., to achieve a simple and stable method. The effect of improving the level of solution and design

Pending Publication Date: 2022-03-22
CHINA ACAD OF LAUNCH VEHICLE TECH
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Problems solved by technology

[0006] However, the current multi-objective optimization solution process considers the characteristics of the Pareto front and does not consider the distribution of the corresponding Pareto solution set, which is not conducive to the evaluation of the Pareto solution set and the determination of the final optimal solution

Method used

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  • Multi-objective optimization solving method and system based on crowding degree
  • Multi-objective optimization solving method and system based on crowding degree
  • Multi-objective optimization solving method and system based on crowding degree

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Embodiment 1

[0064] Based on a multi-objective optimization solution method and system based on congestion degree of the present invention, taking an aircraft as an example, the overall multi-objective optimization has been realized. Compared with other methods, the method of the present invention can evaluate the confidence level under the requirement of optimization efficiency Increased by 20%, to meet the needs of engineering applications.

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Abstract

The invention discloses a multi-objective optimization solving method based on the congestion degree, which comprises the following steps: firstly, calculating the congestion degree of a Pareto front edge and the congestion degree of a Pareto solution set, then obtaining a new congestion degree by utilizing the congestion degree of the Pareto front edge and the congestion degree of the Pareto solution set, analyzing the obtained new congestion degree to obtain the next search direction of an optimization algorithm, and gradually obtaining the final Pareto front edge. According to the method, on the basis of Pareto frontier analysis, the congestion degree analysis of the Pareto solution set is added, the congestion degree of the Pareto solution set is obtained, the defects in the prior art are overcome, and the solving method is more accurate and faster; the invention also discloses a system for realizing the method.

Description

technical field [0001] The invention belongs to the technical field of multidisciplinary design and optimization of aircraft overall schemes, and in particular relates to a multi-objective optimization solution method and system based on congestion degree. Background technique [0002] Aircraft design optimization is a very important link in the process of aircraft design, and the search solution that meets the design requirements can be obtained through optimization. With the development of multi-objective optimization technology, more and more attention is paid to the influence of multiple performance indicators in the process of aircraft design, rather than focusing on the optimization of a single indicator. [0003] In the multi-objective optimization process, with the uniformity and distribution of the Pareto front (non-inferior solution set) as the goal, the optimization algorithm search is carried out to complete the solution of the optimization problem. It is mainly...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/15G06F111/06
CPCG06F30/15G06F2111/06
Inventor 池元成刘闻汪宏昇王晓路张冶何漫李晶张恒王小辉贾倩陈春燕王立伟贾长伟王长庆郑小鹏李杰奇赵山杉赵月张凯武健辉
Owner CHINA ACAD OF LAUNCH VEHICLE TECH
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