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Complex system designing method based on resampling particle swarm optimization algorithm

A particle swarm optimization, complex system technology, applied in the computer field, can solve problems such as wasting computing power

Inactive Publication Date: 2016-08-24
BEIHANG UNIV
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Problems solved by technology

[0007] The present invention provides a complex system design method based on the resampling particle swarm optimization algorithm to overcome the shortcomings of traditional optimization design methods that waste computing power to a certain extent and easily fall into local optimal solutions

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  • Complex system designing method based on resampling particle swarm optimization algorithm
  • Complex system designing method based on resampling particle swarm optimization algorithm
  • Complex system designing method based on resampling particle swarm optimization algorithm

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Embodiment Construction

[0080] The method will be further described below in conjunction with the accompanying drawings and an example of an optimal design of a complex system, but this example is not intended to limit the method, and most of the optimal design problems of complex systems can be optimally solved by this method.

[0081] Depend on figure 1 It can be seen that the complex system design method based on the resampling particle swarm optimization algorithm provided by the present invention mainly includes the following six steps:

[0082] Step 1: Establish a fitness function for a specific optimization problem

[0083] In order to clarify the logical process of the method, here is a detailed description of the method combined with a complex system optimization design example. This example is an optimization design problem for a supersonic aircraft range, involving three disciplines: structure, aerodynamics, and thrust. There are 10 design variables, 6 coupling variables, 12 constraints, ...

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Abstract

The invention discloses a complex system designing method based on the resampling particle swarm optimization algorithm. The method comprises the following steps: (I) establishing a fitness function of specific optimization problems; (II) initializing the particle swarm; (III) performing resampling operation of the particle swarm; (IV) updating the particle position and speed; (V) updating the historical optimal position and swarm optimal position of each particle; and (VI) if the precision requirement is not met and the maximum number of iterations is not reached, adding one to the number of iterations and returning to the step (III); and otherwise, recording and outputting the result. In the invention, practical problems in the optimal design of a complex system can be effectively dealt with; and by introducing the resampling technology, the convergence speed is increased, the efficiency is improved, the global search ability is enhanced, the optimization precision is improved, and an aim of efficiently and accurately solving the problems in the optimal design of the complex system is finally achieved.

Description

technical field [0001] The invention relates to a complex system design method based on a resampling particle swarm optimization algorithm, which can quickly and effectively realize the optimal design of the complex system, and belongs to the field of computer technology. Background technique [0002] With the continuous improvement of science and technology and the continuous development of optimization theory, and to make up for the shortcomings of traditional optimization algorithms, a new type of algorithm called modern intelligent optimization algorithm has been developed rapidly and widely used. A new method for some complex system optimization problems. Intelligent optimization algorithm refers to a general term for a large class of algorithms that can solve complex optimization problems by simulating natural phenomena through computer programming, imitating the social behavior and evolution mechanism of animals and even humans. At present, the intelligent optimizati...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/00G06F2111/04G06F2111/06
Inventor 王晓慧张昊樊思思
Owner BEIHANG UNIV
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