Weights Finding Based on Improved Genetic Algorithms

doi:10.3969/j.issn.1000-3428.2007.05.055

Computer Engineering ›› 2007, Vol. 33 ›› Issue (05): 156-157. doi: 10.3969/j.issn.1000-3428.2007.05.055

• Artificial Intelligence and Recognition Technology • Previous Articles Next Articles

Weights Finding Based on Improved Genetic Algorithms

JIA Zhaohong1,2, CHEN Huaping2

(1. Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei 230039; 2. Department of Information Management and Decision Science, University of Science and Technology of China, Hefei 230026)

Received:1900-01-01 Revised:1900-01-01 Online:2007-03-05 Published:2007-03-05

基于改进遗传算法的权重发现技术

贾兆红1,2，陈华平2

(1. 安徽大学计算智能与信号处理教育部重点实验室，合肥 230039；2. 中国科学技术大学信息管理与决策科学系，合肥 230026)

Abstract

Abstract: In case-based system, the retrieval of similar cases is the key step of the intelligent system, and the attribute weighting of a case base takes important effect. This paper introduces two improved GAs to find the attribute weights, and analyzes the experimental results. This method can be used for weights finding.

Key words: Case-based reasoning, Weight, Genetic algorithms, Boltzmann

摘要： 范例推理的关键步骤在于相似范例的检索，而范例库中的特征项权重起到重要的作用。文章讨论了用遗传算法来获取范例库上的特征项权重，并用两种改进的遗传算法来发现范例库上的特征项权重，给出了具体的算法，分析了实验结果。该方法可用于权重发现。

关键词: 基于范例的推理, 权重, 遗传算法, Boltzmann

JIA Zhaohong; CHEN Huaping. Weights Finding Based on Improved Genetic Algorithms[J]. Computer Engineering, 2007, 33(05): 156-157.

贾兆红;陈华平. 基于改进遗传算法的权重发现技术[J]. 计算机工程, 2007, 33(05): 156-157.

/ / Recommend / Download Citations

URL: http://www.ecice06.com/EN/10.3969/j.issn.1000-3428.2007.05.055

http://www.ecice06.com/EN/Y2007/V33/I05/156

[1]	Xinyi ZHANG, Fei ZHANG, Bin HAO, Lu GAO, Xiaoying REN. Mask Wearing Detection Algorithm Based on Improved YOLOv5 [J]. Computer Engineering, 2023, 49(8): 265-274.
[2]	Jianhong MA, Tian GONG, Shuang YAO. Document-Level Relation Extraction Based on Evidential Sentences and Graph Convolutional Network [J]. Computer Engineering, 2023, 49(8): 104-110.
[3]	Junhao LIU, Meilin WANG, Xing XIE, Yexing SONG, Lihua XU. Leather Defect Detection Algorithm Based on Improved YOLOv5 [J]. Computer Engineering, 2023, 49(8): 240-249.
[4]	Zhengmei XU, Huaming LIU, Xuehui BI, Ya WANG. No-Reference Light Field Image Quality Assessment Based on Feature Optimization [J]. Computer Engineering, 2023, 49(7): 242-250.
[5]	Weifen TANG, Cuifang GAO. Dynamic Time Warping Algorithm with Adaptive Weighting of Extreme Points [J]. Computer Engineering, 2023, 49(7): 150-160.
[6]	Dazhi PAN, Yan JIANG, Yawen LIU. Double-Decision Interactive Diversity Algorithm for Solving Multidimensional Knapsack Problems [J]. Computer Engineering, 2023, 49(7): 21-33.
[7]	WANG Xindi, YANG Su, ZHANG Siyuan, LUO Wuyang, LI Jie, LIU Hui. Urban Fire Risk Prediction Based on Spatial-Temporal Big Data and Satellite Images [J]. Computer Engineering, 2023, 49(6): 242-249.
[8]	CHEN Wenxuan, ZENG Bi, GUO Zhixing. Fall Detection Method Integrating Multi-Feature and Semantic Graph Convolution Network [J]. Computer Engineering, 2023, 49(5): 277-285,294.
[9]	AN Zhiguo, PENG Zheng, YI Mancheng, LIU Jianxin, YU Sifan. Filter Competition Training of Neural Networks [J]. Computer Engineering, 2023, 49(4): 120-124.
[10]	ZHONG Baorong, WU Xialing. Research on Lightweight Human Pose Estimation Based on High-Resolution Network [J]. Computer Engineering, 2023, 49(4): 226-232,239.
[11]	YANG Liwei, JIA Boyu, WANG Fang, PENG Xiangyuan. Resource Management Algorithm of Visible Light Communication and WiFi Heterogeneous Network [J]. Computer Engineering, 2023, 49(3): 203-210,220.
[12]	WEN Jing, YANG Jie. Depth Estimation Based on Scene Object Attention and Depth Map Fusion [J]. Computer Engineering, 2023, 49(2): 222-230.
[13]	WANG Zhen, LI Hao, YAN Dongmei, ZHU Yongrong. Pavement Disease Detection Model Based on Improved YOLOv5 [J]. Computer Engineering, 2023, 49(2): 15-23.
[14]	ZENG Leiming, HOU Jin, CHEN Zirui, ZHOU Haoran. Lightweight Traffic Sign Detection Network Based on Weak Semantic Segmentation [J]. Computer Engineering, 2022, 48(9): 269-276,285.
[15]	ZHANG Baopeng, KANG Qianze, LI Jiameng, GUO Junyu, CHEN Shaohua. Lightweight YOLOv4 Target Detection Algorithm [J]. Computer Engineering, 2022, 48(8): 206-214.

Please choose a citation manager

Content to export

Weights Finding Based on Improved Genetic Algorithms

基于改进遗传算法的权重发现技术

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

模态框（Modal）标题

Please choose a citation manager

Content to export

Weights Finding Based on Improved Genetic Algorithms

基于改进遗传算法的权重发现技术

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments