Method for reducing calculating time of intelligent optimization algorithm

An intelligent optimization algorithm and variable optimization technology, which is applied in computing, special data processing applications, instruments, etc.

Inactive Publication Date: 2015-04-08
NORTHWESTERN POLYTECHNICAL UNIV
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And selecting a large number of sample data itself also requires a lot of time consumption.

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  • Method for reducing calculating time of intelligent optimization algorithm
  • Method for reducing calculating time of intelligent optimization algorithm
  • Method for reducing calculating time of intelligent optimization algorithm

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Embodiment Construction

[0047] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0048] refer to Figure 1 ~ Figure 3 , when the genetic algorithm (GA) is used to optimize the design problem of high coincidence herringbone gear modification in the field of mechanical design, the modification parameter is used as the design variable, and the root mean square value of the vibration acceleration along the meshing line is objective function. Due to the complexity of the calculation process of the fitness value, including load-bearing contact analysis (LTCA) of the herringbone gear, the solution of the nonlinear dynamic differential equation, etc., the time-consuming calculation of the fitness value is unacceptable in engineering. Therefore, the key to using the method of the present invention to reduce the calculation time in the process of calculating the fitness value of the genetic algorithm is to predict the fitness value of some calculated ...

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Abstract

The invention relates to a method for reducing calculating time of an intelligent optimization algorithm. When optimization solution is performed on an optimization design problem of high overlap ratio herringbone gear modification in the field of machinery design by means of a genetic algorithm (GA), profile modification parameters are used as design variables, and a root-mean-square value of vibration acceleration along a meshing line direction is used as an objective function. The process of fitness value calculation is complicated, which includes herringbone gear loaded tooth contact analysis (LTCA), non-linear dynamics differential equation solution and the like, and consumed time of fitness value calculation can not be accepted in engineering. Therefore, by means of the method for reducing calculating time of the intelligent optimization algorithm, in order to reduce the calculation time in the calculation process of fitness values by the GA, the key is predication of fitness values of a part of calculation individuals, and time-wasting fitness value calculation is replaced.

Description

technical field [0001] The invention belongs to a method for reducing the time-consuming calculation of a computer in an intelligent optimization algorithm, in particular to a method for reducing the time-consuming calculation of an intelligent optimization algorithm, which is a method for reducing the time-consuming calculation of an intelligent optimization algorithm by using fitness value prediction. Background technique [0002] Group-based intelligent optimization algorithms, such as genetic algorithm (GA), ant colony algorithm (ACO), particle swarm algorithm (PSO), etc., have faster optimization speed and better global convergence performance than traditional optimization algorithms , the insensitivity to initial value selection, and the ability to solve discontinuous, multi-peak, high-dimensional optimization problems are widely used in the optimization design of complex mechanical systems. However, these intelligent optimization algorithms all face the time-consuming...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 赵宁秋朋园赵永志
Owner NORTHWESTERN POLYTECHNICAL UNIV
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