Optimization method of machining path of hole groups based on small-world network search
A small-world network and hole group processing technology, which is applied in the field of hole group processing path optimization based on small-world network search, can solve the problems of complex algorithms and the quality of the solution needs to be further improved, achieving short processing paths, reduced times, The effect of increasing the processing speed
Active Publication Date: 2019-06-07
HUAIHAI INST OF TECH
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The method applied to the optimization of hole group processing path has also been proposed by scholars, but this method uses the classic evolutionary ant colony algorithm, the algorithm is complex, and the quality of the solution needs to be further improved
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[0022] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.
[0023] It should be understood that terms such as "having", "comprising" and "including" as used herein do not entail the presence or addition of one or more other elements or combinations thereof.
[0024] like figure 1 As shown, the adaptive optimization method of the hole group processing path provided by the embodiment of the present invention includes:
[0025] Step 1 S01. When processing the well group, an initial antibody group A is randomly generated, and each antibody in the initial antibody group A corresponds to a processing order of the well group.
[0026] In one of the specific embodiments, the step 1 is specifically: when processing a well group with n wells, randomly generate an initial antibody population A comprising M antibodies, each antibody corresponds ...
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The invention discloses a hole group machining path optimization method based on small-world network searching. The method includes the steps that when hole groups are machined, an initial antibody population A is generated randomly, and each antibody in the initial antibody population A corresponds to one machining sequence of holes; the initial antibody population A is evaluated according to theoptimization condition, and elite antibodies in the initial antibody population A are reserved to form an antibody population B; each elite antibody in the antibody population B is subjected to clonecopying, so that an antibody population C is obtained; elite antibodies in the antibody population C are subjected to small-world network searching operation, short-range optimization operators and long-range optimization operators are included, and accordingly an antibody population D is obtained; each elite antibody in the antibody population B is subjected to quantum crossover, so that an antibody population E is obtained; high-quality antibodies are selected from the elite antibodies of the antibody population D and the antibody population E to form an antibody population F; and whether terminal is required or not is judged. By adoption of the method, a small-world network searching model is combined with a cloning selection method, the machining path length can be decreased, the machining speed is increased, and the reverse conversion frequency of cutters is reduced.
Description
technical field [0001] The invention relates to the field of numerical control machining control in mechanical engineering. More specifically, the present invention relates to a method for optimizing machining paths of hole groups based on small-world network search. Background technique [0002] The small-world phenomenon originated from social psychologist Milgram's research on tracking the shortest path in American social networks in the 1960s. Studies have shown that there are a large number of shortest paths in the social network, and through these shortest paths, information can be quickly transmitted to any destination, which is the famous six degrees of separation inference. After that, complex network research entered a new era, and a large number of research results emerged, which were successfully applied in many fields such as Internet control and biological protein network dynamics research. Scholars have proposed to use the transmission characteristics of the...
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IPC IPC(8): B23P13/00
CPCB23P13/00
Inventor 戴红伟杨玉曹华利李存华
Owner HUAIHAI INST OF TECH