Fast-forward path optimization method for leather multi-contour processing
A path optimization, multi-contour technology, applied in data processing applications, forecasting, instruments, etc., can solve the problems of slow convergence speed, easy to fall into local extremum, etc., achieve fast convergence, avoid premature convergence phenomenon, and ensure global search performance Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0033] In graph theory, TSP is defined as follows: Let G=(V,A) be a weighted directed graph, V={v 1 ,v 2 ,...v m} is the node set, A={(v i ,v j ), i≠j,v i , v j ∈V} is the arc set, and the TSP problem is to find a Hamilton circuit on the weighted graph G whose starting point coincides with the ending point, can traverse every node in G and has the least cost; if the node set V is divided into n subsets V 1 ,...V n , V 1 ∪V 2 ∪…V n =V, and The problem of finding a shortest Hamilton circuit that passes through each subset of nodes and only passes through the unique node of each subset is a kind of generalized traveling salesman problem GTSP.
[0034] The multi-contour machining fast-forward path problem can be attributed to a special GTSP problem: each sample contour can be regarded as a subset of nodes; any node in the sample contour can be used as the entry and exit point of the sample; During CNC machining, the general cutting tool starts from a certain fixed po...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com