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Isomorphism identification method of mechanism kinematics chain based on pseudo-hybridization hybrid genetic algorithm

A hybrid genetic algorithm and mechanism kinematic chain technology, applied in computing, genetic models, special data processing applications, etc., can solve problems such as low efficiency of mechanism isomorphism recognition, achieve easy coding, best effect, and overcome failure effects

Inactive Publication Date: 2010-02-24
JIANGSU UNIV
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Problems solved by technology

[0012] The purpose of the present invention is to overcome the defects of the existing design method, solve the problem of low efficiency of existing mechanism innovation design and mechanism isomorphism recognition, and further promote the development of mechanism innovation design to the direction of high efficiency and low cost. Isomorphism Recognition Method of Mechanism Kinematic Chain Based on Hybrid Hybrid Genetic Algorithm

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  • Isomorphism identification method of mechanism kinematics chain based on pseudo-hybridization hybrid genetic algorithm
  • Isomorphism identification method of mechanism kinematics chain based on pseudo-hybridization hybrid genetic algorithm
  • Isomorphism identification method of mechanism kinematics chain based on pseudo-hybridization hybrid genetic algorithm

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Embodiment

[0080] Such as figure 2 (a) and 2(b) show two 10-bar kinematic chains, and the corresponding topological diagrams of the two kinematic chains are as follows figure 2 (c), 2(d) shown.

[0081] Parameter setting: population size M=50; hybridization probability P c =0.8; mutation probability P m =0.6

[0082] according to figure 1 The program flow of the program is iterated, and the result of the isomorphism of the two kinematic chains can be obtained in a very short time. In order to prove the high efficiency of the algorithm of the present invention, repeat the independent operation 1000 times to this embodiment, and statistical performance index, as shown in table 1 below:

[0083] Table 1

[0084]

[0085] The implementation results in Table 1 prove that the pseudo-hybrid genetic operator overcomes the defects of the simple genetic algorithm, and the combination of the genetic algorithm and the local search algorithm greatly reduces redundant calculations and impro...

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Abstract

The invention discloses an isomorphism identification method of a mechanism kinematics chain based on a pseudo-crossover hybrid genetic algorithm, comprising the following steps: forming a corresponding mechanism topological graph according to a structure of the mechanism kinematics chain; setting genetic codes of an adjacent matrix; taking adjacent matrices of two mechanism topological graphs tobe judged to determine a target function and calculating a target function value and the fitness of each individual; then adopting a pseudo-crossover operator, randomly selecting two individuals froma population which is randomly generated, and randomly generating two crossover points to carry out air extension; selecting two individuals from an intermediate population which is generated by the extension to carry out primary local optimization; and finally, combining with a local searching operator to form the pseudo-crossover hybrid genetic algorithm. The invention can carry out operation and simulation on isomorphism identification of the mechanism kinematics chain so as to accurately carry out the isomorphism identification on the kinematics chain with high efficiency.

Description

technical field [0001] The invention relates to a method for isomorphism identification of mechanism kinematic chains, in particular to a method for isomorphism identification of mechanism kinematic chains in innovative design of mechanisms and intelligent CAD. Background technique [0002] Due to the wide application of kinematic chain isomorphism recognition and its important position in mechanism innovation design and intelligent CAD, experts and scholars have proposed many kinds of mechanism kinematic chain isomorphism recognition methods for nearly half a century, which can be roughly divided into the following categories: Category: [0003] 1. Isomorphism determination method based on characteristic polynomial of adjacency matrix. [0004] 2. Code-based isomorphism determination method. [0005] 3. Isomorphism determination based on Hamming string. [0006] 4. Isomorphism determination method based on eigenvalues ​​and eigenvectors. [0007] In the application of t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/12G06F17/50
Inventor 杨平曾科翰
Owner JIANGSU UNIV
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