Trial variation particle swarm optimization method and system, computer equipment, medium and application

Abstract

The invention belongs to the technical field of reliability optimization, and discloses a trial variation particle swarm optimization method and system, computer equipment, a medium and application, and the method comprises the steps: designing a direct position updating strategy and a trial variation strategy based on a PSO algorithm; through verification and comparison of complex test functions,proving the rationality of design of the DTSPO method and excellent global optimization capability of the method. According to the method, a direct position updating strategy and a trial variation strategy are designed, so that the diversity of populations and the balance of exploration and development are effectively maintained, and the probability of obtaining a globally optimal solution is improved; through verification and comparison of nine complex test functions, the reasonability of the DTSPO method design and the excellent global optimization ability of the algorithm are proved. Comparison results prove that the DTPSO algorithm provided by the invention can provide effective technical support for practical application such as reliability optimization and the like.

Description

technical field [0001] The invention belongs to the technical field of reliability optimization, and in particular relates to a variational particle swarm optimization method, system, computer equipment, medium and application. Background technique [0002] At present, reliability is an important index to measure the application performance of various products in modern industrial society, and an important guarantee for the competitiveness and adaptability of various products. The requirement of medium reliability is an important embodiment of the development goal of "quality first". Therefore, improving the reliability of products has been paid more and more attention to by today's manufacturing industry. On the other hand, the cost and reliability of the product usually have a positive correlation. While ensuring the reliability index, the cost factor of the product must also be considered. Finding a balance between cost and reliability is a key way to improve product co...

AI Technical Summary

Problems solved by technology

[0006] Through the above analysis, the existing problems and defects of the existing technology are: the traditional and various improved PSO algorithms, due to the inherent premature convergence problem caused by being caught in the local optimal area and unable to jump out, the PSO algorithm in the surface For complex, high-dimensional, multi-modal optimization problems, the optimization performance is significantly reduced, which limits the application range of the PSO algorithm, especially in complex applications such as engineering practice, such as reliability optimization, industrial optimization design, and process scheduling optimization. etc., it is difficult to achieve a satisfactory and optimal output solution

[0007] The difficulty of solving the above problems and defects is: mainly in complex optimization problems, due to the complexity of the solution space, the stability output and optimization ability of the algorithm are difficult to meet the application requirements

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