A Novel Artificial Bee Colony Algorithm For Solving Spray Gun Trajectory Optimization On Complex Surface
PROCEEDINGS 2018 33RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC)(2018)
Abstract
Aiming at the optimization of spray gun trajectory for complex surfaces, a novel Artificial Bee Colony (ABC) algorithm is proposed in this paper, which optimizes the uniformity of coating thickness. In order to improve the solution quality, we adopted a new neighborhood search method that extracts the excellent individuals in the population for joint development to enhance the accuracy of the solution. At the same time, the Boltzmann selection strategy is introduced so that the current iteration number becomes the influence factor of the following probability. The experimental verification shows that, the new ABC has better solution quality and stronger robustness than the traditional one, and it can well solve the optimization problem of the gun trajectory for complex surfaces.
MoreTranslated text
Key words
automatic spray trajectory planning, Artificial Bee Colony(ABC) Algorithm, constrained optimization integration
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined