Application of intelligence fusion algorithm in path optimization problem

Shigang Wang; Yujuan Wang; Guanxiong Wu; Yili Fu

doi:10.4028/www.scientific.net/AMM.151.632

Application of intelligence fusion algorithm in path optimization problem

Shigang Wang^*
, Yujuan Wang
, Guanxiong Wu
, Yili Fu

^*Corresponding author for this work

School of Mechatronics Engineering

Harbin Institute of Technology
Qiqihar University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

In CAD/CAM integration system, the problem of the path optimization to be thorough researched. Through numerical describe of information elements, by using graph theory of traveling salesman problem, set up the mathematical model of path optimization problem. Based on ant colony algorithm and lin-kernighan (LK) algorithm, an intelligence fusion algorithm is put forward. With group of holes processing as an example, the group of holes drilling tool path of optimized, and realize the CAD/CAM many features of optimization, which greatly improve the processing precision and efficiency.

Original language	English
Title of host publication	New Trends in Mechatronics and Materials Engineering
Pages	632-636
Number of pages	5
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.151.632
State	Published - 2012
Event	2011 International Conference on Mechatronics and Materials Engineering, ICMME 2011 - Qiqihar, China Duration: 10 Dec 2011 → 12 Dec 2011

Publication series

Name	Applied Mechanics and Materials
Volume	151
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	2011 International Conference on Mechatronics and Materials Engineering, ICMME 2011
Country/Territory	China
City	Qiqihar
Period	10/12/11 → 12/12/11

Keywords

Ant colony optimization
Group of holes processing
LK algorithm
Path optimization
Traveling salesman problem

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10.4028/www.scientific.net/AMM.151.632

Cite this

@inproceedings{5152f22c4dfb4503aedbe485e6973703,

title = "Application of intelligence fusion algorithm in path optimization problem",

abstract = "In CAD/CAM integration system, the problem of the path optimization to be thorough researched. Through numerical describe of information elements, by using graph theory of traveling salesman problem, set up the mathematical model of path optimization problem. Based on ant colony algorithm and lin-kernighan (LK) algorithm, an intelligence fusion algorithm is put forward. With group of holes processing as an example, the group of holes drilling tool path of optimized, and realize the CAD/CAM many features of optimization, which greatly improve the processing precision and efficiency.",

keywords = "Ant colony optimization, Group of holes processing, LK algorithm, Path optimization, Traveling salesman problem",

author = "Shigang Wang and Yujuan Wang and Guanxiong Wu and Yili Fu",

year = "2012",

doi = "10.4028/www.scientific.net/AMM.151.632",

language = "英语",

isbn = "9783037853504",

series = "Applied Mechanics and Materials",

pages = "632--636",

booktitle = "New Trends in Mechatronics and Materials Engineering",

note = "2011 International Conference on Mechatronics and Materials Engineering, ICMME 2011 ; Conference date: 10-12-2011 Through 12-12-2011",

}

Wang, S, Wang, Y, Wu, G & Fu, Y 2012, Application of intelligence fusion algorithm in path optimization problem. in New Trends in Mechatronics and Materials Engineering. Applied Mechanics and Materials, vol. 151, pp. 632-636, 2011 International Conference on Mechatronics and Materials Engineering, ICMME 2011, Qiqihar, China, 10/12/11. https://doi.org/10.4028/www.scientific.net/AMM.151.632

TY - GEN

T1 - Application of intelligence fusion algorithm in path optimization problem

AU - Wang, Shigang

AU - Wang, Yujuan

AU - Wu, Guanxiong

AU - Fu, Yili

PY - 2012

Y1 - 2012

N2 - In CAD/CAM integration system, the problem of the path optimization to be thorough researched. Through numerical describe of information elements, by using graph theory of traveling salesman problem, set up the mathematical model of path optimization problem. Based on ant colony algorithm and lin-kernighan (LK) algorithm, an intelligence fusion algorithm is put forward. With group of holes processing as an example, the group of holes drilling tool path of optimized, and realize the CAD/CAM many features of optimization, which greatly improve the processing precision and efficiency.

AB - In CAD/CAM integration system, the problem of the path optimization to be thorough researched. Through numerical describe of information elements, by using graph theory of traveling salesman problem, set up the mathematical model of path optimization problem. Based on ant colony algorithm and lin-kernighan (LK) algorithm, an intelligence fusion algorithm is put forward. With group of holes processing as an example, the group of holes drilling tool path of optimized, and realize the CAD/CAM many features of optimization, which greatly improve the processing precision and efficiency.

KW - Ant colony optimization

KW - Group of holes processing

KW - LK algorithm

KW - Path optimization

KW - Traveling salesman problem

UR - https://www.scopus.com/pages/publications/84863023539

U2 - 10.4028/www.scientific.net/AMM.151.632

DO - 10.4028/www.scientific.net/AMM.151.632

M3 - 会议稿件

AN - SCOPUS:84863023539

SN - 9783037853504

T3 - Applied Mechanics and Materials

SP - 632

EP - 636

BT - New Trends in Mechatronics and Materials Engineering

T2 - 2011 International Conference on Mechatronics and Materials Engineering, ICMME 2011

Y2 - 10 December 2011 through 12 December 2011

ER -

Application of intelligence fusion algorithm in path optimization problem

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