An Optimization Method of Knowledge Mapping Relationship Based on Improved Ant Colony Algorithm

被引：0

作者：

Xu, Shi-Fu ^{[1
,2
]}

Jiang, Ya-Nan ^{[1
]}

机构：

[1] Faculty of Mechanical Engineering and Automation, College of Science and Technology of Ningbo University, Ningbo, China

[2] Faculty of Mechanical Engineering & Automation, Zhejiang Sci-Tech University, Hangzhou, China

来源：

Journal of Computers (Taiwan) | 2022年 / 33卷 / 02期

关键词：

Ant colony optimization;

D O I：

10.53106/199115992022043302012

中图分类号：

学科分类号：

摘要：

The current knowledge mapping relationship optimization methods cannot obtain high-precision information. An optimization method of knowledge mapping relationship based on improved ant colony algorithm is proposed. The high-precision information of the network is obtained by using the cyclic network. The SGP problem is used to replace the optimization problem of the knowledge map relationship. The optimization objective function of the knowledge map relationship is constructed and solved by the improved ant colony algorithm. The optimization of the knowledge map relationship is realized. Experimental results show that the proposed method has high average accuracy, high knowledge accuracy and high knowledge coverage. © 2022 Computer Society of the Republic of China. All rights reserved.

引用

页码：137 / 147

共 50 条

[1] Tourism route optimization based on improved knowledge ant colony algorithm
Li, Sidi
Luo, Tianyu
Wang, Ling
Xing, Lining
Ren, Teng
COMPLEX & INTELLIGENT SYSTEMS, 2022, 8 (05) : 3973 - 3988
[2] Tourism route optimization based on improved knowledge ant colony algorithm
Sidi Li
Tianyu Luo
Ling Wang
Lining Xing
Teng Ren
Complex & Intelligent Systems, 2022, 8 : 3973 - 3988
[3] Improved Optimization Algorithm of Ant Colony
Zhao Yun-Hong
PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE AND TECHNOLOGY EDUCATION (ICSSTE 2016), 2016, 55 : 528 - 532
[4] An improved chemical reaction optimization algorithm based on ant colony algorithm
Song L.
Chemical Engineering Transactions, 2018, 66 : 1009 - 1014
[5] Improved ant colony optimization algorithm based on particle swarm optimization
School of Automation, University of Science and Technology Beijing, Beijing 100083, China
不详
Kongzhi yu Juece Control Decis, 2013, 6 (873-878+883):
[6] Optimization of Virtual Network Mapping Based on Improved Ant Colony Algorithm in Complex Network Environments
Zhang, Ran
Sheng, Jie
SCIENTIFIC PROGRAMMING, 2022, 2022
[7] Optimization of Spiral Drum Based on Improved Ant Colony Algorithm
Wang Duanyi
MEMS, NANO AND SMART SYSTEMS, PTS 1-6, 2012, 403-408 : 3022 - 3025
[8] Improved ant colony optimization algorithm based on RNA computing
Zhang L.
Xiao C.
Fei T.
Automatic Control and Computer Sciences, 2017, 51 (5) : 366 - 375
[9] An Improved Feature Selection Algorithm Based on Ant Colony Optimization
Peng, Huijun
Ying, Chun
Tan, Shuhua
Hu, Bing
Sun, Zhixin
IEEE ACCESS, 2018, 6 : 69203 - 69209
[10] An Improved Ant Colony Optimization Algorithm based on Immunization Strategy
Nan, Yang
MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6, 2012, 490-495 : 66 - 70

← 1 2 3 4 5 →