An optimization framework of K-means clustering and metaheuristic for traveling salesman problem
In this dissertation, we first studied the optimization framework of K-means clustering genetic algorithm. By comparing with traditional genetic algorithm, we verified that the optimization framework can effectively save computing time when solving large-scale traveling salesman problems and the fin...
Saved in:
主要作者: | |
---|---|
其他作者: | |
格式: | Thesis-Master by Coursework |
語言: | English |
出版: |
Nanyang Technological University
2021
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/154401 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|