Parallel configurable intelligent optimization method based on collaborative optimization strategy

Abstract

The invention provides a parallel configurable intelligent optimization method based on a collaborative optimization strategy, and the method comprises the following steps: 1, building an MDO optimization problem according to requirements, and determining an optimization model and a system-level optimization model; 2, determining parameters of an adaptive hybrid optimization method according to aspecific optimization problem; 3, converting and optimizing an objective function based on a penalty function method; 4, distributing an initial value to the subsystem level by the system level, carrying out subsystem level optimization by the subsystem by adopting a conventional numerical method, and returning an optimization result of the subsystem level to the system level; 5, comparing to obtain the difference between the subject optimization solution and the system-level optimization solution, calculating a penalty factor, and reconstructing a system-level optimization model; 6, performing system-level optimization coordination and solution by adopting a hybrid intelligent method; 7, judging convergence. According to the invention, a complex product engineering digitization and networking design optimization system is perfected, the application space of collaborative optimization and intelligent optimization methods in the field of design optimization is expanded, and the design quality and design efficiency of products are effectively improved.

Description

technical field [0001] The invention relates to a parallel configurable intelligent optimization method based on a collaborative optimization strategy, which relates to a parallel configurable intelligent optimization method based on a collaborative optimization strategy, and belongs to the technical field of multidisciplinary design optimization of complex products. Background technique [0002] Multidisciplinary Design Optimization (MDO) is a design optimization method developed in the 1980s to deal with large-scale, multi-coupled complex engineering systems. The advantage of MDO is that it shortens the design cycle by realizing the modular parallel design of various disciplines, taps the design potential by considering the mutual coupling between disciplines, selects and evaluates the scheme through the comprehensive analysis of the system, and realizes the design through the high integration of the system. Realize the automatic design of complex products, improve reliabi...

AI Technical Summary

Problems solved by technology

[0003] However, the CO method also has the defects of low computational efficiency and difficult convergence due to its own optimization model and principle.

The former is caused by the use of conventional numerical algorithms in the CO method, and the latter is caused by the imperfect definition of the CO method at the system level

Images