An optimization method and optimization system for multi-objective mechanical component design

Abstract

The invention discloses an optimization method and an optimization system of multipurpose mechanical component design. According to the optimization method of multipurpose mechanical component design, mechanical component design parameters which are preset by a user is received, an optimization model of the designed parameters is established; a particle swarm algorithm sub program is called to optimize the optimization model, the Pareto leading edge of the design parameters is obtained, the Pareto leading edge is updated in an iteration mode; when iteration times reach the preset value, an extreme value dynamics optimization algorithm sub program is called to optimize the Pareto leading edge and to keep the diversity of the Pareto leading edge; when iteration is finished, the Pareto leading edge is output in a pattern mode, and a user can select a suitable design parameter according to the need. By means of the optimization method and the optimization system of multipurpose mechanical component design, the problem of optimization design of the multipurpose mechanical component is solved, the optimization result has good convergence performance and diversification performance, and the diversified requirements of the user are met. Moreover, the optimization method and the optimization system of multipurpose mechanical component design are achieved through software, implementation mode is simple, and cost is low.

Description

technical field [0001] The invention relates to the design problem of mechanical components, in particular to an optimization method and an optimization system for multi-objective mechanical component design. Background technique [0002] In the real world, many problems are usually composed of multiple goals that may conflict with each other, that is, the performance of other goals cannot be arbitrarily improved without reducing the value of one goal, so the results can only be balanced between each goal . For example, when designing a new product, it is necessary to consider not only that the product has better performance, but also the lowest manufacturing cost, and at the same time, the manufacturability, reliability, and maintainability of the product. These design goals Improvements can conflict with each other. The same is true for the design of mechanical components. [0003] The optimal design of mechanical components not only needs to consider the cost of the de...

AI Technical Summary

Problems solved by technology

At present, there is an optimal design scheme for mechanical components using a multi-objective extreme value dynamics algorithm. However, this scheme using a multi-objective extreme value dynamics algorithm can only achieve better convergence performance in the optimization results, and cannot achieve better results. Diversified performance

The optimization design of multi-objective mechanical components is too simple to meet the requirements of user diversity

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