A Lightweight Design Method of Gearbox Based on Improved Particle Swarm Optimization Algorithm
A technology for improving particle swarm and lightweight design, applied in computing, special data processing applications, instruments, etc., to achieve good results
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[0040] The embodiments of the present invention are implemented on the premise of the technical solutions of the present invention, and detailed implementation methods and specific operation processes are given, but the protection scope of the present invention is not limited to the following embodiments.
[0041] The specific implementation steps are:
[0042] Step 1: Take the Sphere function in the standard test function as an example to test and analyze the improved particle swarm optimization algorithm. Initialize 3 populations, that is, from the group-1, from the group-2, from the group-3, each population contains N particles, and the search and solution ability of the improved particle swarm optimization algorithm under different parameter settings is greatly improved. Figure 2-6 shown. The algorithm of the invention has effective reliability and can well balance the local optimum and global search capabilities.
[0043] Step 2: According to Figure 7 For the gearbox...
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