Method of tearing and decoupling for coupled function set

doi:10.3778/j.issn.1002-8331.2011.02.062

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (2): 207-209.DOI: 10.3778/j.issn.1002-8331.2011.02.062

• 工程与应用 • Previous Articles Next Articles

Method of tearing and decoupling for coupled function set

JIANG Tingting，GUO Dong，WEI Xiaopeng

Key Laboratory of Advanced Design and Intelligent Computing（Dalian University），Ministry of Education，Dalian University，Dalian，Liaoning 116622，China

Received:2009-09-01 Revised:2009-11-17 Online:2011-01-11 Published:2011-01-11
Contact: JIANG Tingting

一种耦合功能集割裂解耦方法

姜婷婷，郭东，魏小鹏

大连大学大连大学先进设计与智能计算省部共建教育部重点实验室，辽宁大连 116622

通讯作者: 姜婷婷

Abstract

Abstract: The coupled function set which is described by design matrix is studied，and a new method of measuring the coupling strengths is brought forward.A chaotic improved PSO with the objective function of the reduction of the solution space is applied in sequencing the coupling function.An example of the design for automobile parking structure is used to verify the effectiveness of the method.

Key words: coupled function set, fuzzy consistent judgment matrix, Particle Swarm Optimization（PSO）

摘要： 以设计矩阵表示的耦合功能集为研究对象，针对耦合功能集中功能耦合的程度，给出了一种度量的方法；使用混沌思想改进了粒子群算法，以参数可行解的减少量为目标函数，实现了耦合功能的顺序规划。最后通过某汽车停车档的设计实例验证了算法的有效性。

关键词: 耦合功能集, 模糊一致性判断矩阵, 粒子群算法

CLC Number:

TP391.72

JIANG Tingting，GUO Dong，WEI Xiaopeng. Method of tearing and decoupling for coupled function set[J]. Computer Engineering and Applications, 2011, 47(2): 207-209.

姜婷婷，郭东，魏小鹏. 一种耦合功能集割裂解耦方法[J]. 计算机工程与应用, 2011, 47(2): 207-209.

[1]	HU Xiaomin, WANG Mingfeng, ZHANG Shourong, LI Min. New Differential Evolution with Particle Swarm Optimization Algorithm for Text Clustering [J]. Computer Engineering and Applications, 2021, 57(4): 61-67.
[2]	WANG Jiayue, SHI Li. Research on Path Optimization and Charging Strategy of Electric Refrigerated Vehicle Considering Cost of Battery Capacity Degradation [J]. Computer Engineering and Applications, 2021, 57(24): 283-289.
[3]	LIN Weixing, WANG Yujia, CHEN Wanfen, LIANG Haina. High-Dimensional Data Feature Selection Algorithm Based on Multifactor Particle Swarm Optimization [J]. Computer Engineering and Applications, 2021, 57(22): 199-207.
[4]	LIAO Weilin, CHENG Shan, SHANG Dongdong, WEI Zhaobin. Particle Swarm Optimization Algorithm Integrated with Multiple-Strategies [J]. Computer Engineering and Applications, 2021, 57(1): 69-76.
[5]	ZHOU Rong, LI Jun, WANG Hao. Reverse Learning Particle Swarm Optimization Based on Grey Wolf Optimization [J]. Computer Engineering and Applications, 2020, 56(7): 48-56.
[6]	CHEN Qiuju, XU Jianguo. Optimized Orthogonal Matching Pursuit and Short-Time Spectrum Estimation for Sound Recognition [J]. Computer Engineering and Applications, 2020, 56(7): 162-169.
[7]	YANG Yanrong, SONG Rongjie, ZHOU Zhaoyong. Network Intrusion Detection Method Based on GAN-PSO-ELM [J]. Computer Engineering and Applications, 2020, 56(12): 66-72.
[8]	JIANG Li1，2, YE Runzhou1，2, LIANG Changyong1，2, LU Wenxing1，2. Improved Second-Order Oscillatory Particle Swarm Optimization [J]. Computer Engineering and Applications, 2019, 55(9): 130-138.
[9]	FENG Jianxin1，2, LI Hui1，2, LIU Zhiguo1，2. New Flame Color Space—IFCS [J]. Computer Engineering and Applications, 2019, 55(5): 203-210.
[10]	YUAN Luo1，2, GE Hongwei1，2. Dispersion Particle Swarm Optimization Algorithm Based on Random Whip Mechanism [J]. Computer Engineering and Applications, 2019, 55(4): 66-71.
[11]	YAN Xuelong, CHEN Zhuo. Analog Circuit Fault Prognostic Utilizing Particle Swarm Optimized Multi-Kernel Relevance Vector Machine [J]. Computer Engineering and Applications, 2019, 55(12): 140-144.
[12]	HONG Tianlong, XIE Lijun, HE Lisha, NI Zhongyi, ZHENG Yao. Auto Tunning for In-Situ Volume Depth Image Generation Based on Particle Swarm Optimization Algorithm [J]. Computer Engineering and Applications, 2019, 55(11): 237-243.
[13]	KANG Kai, PU Wei, HAN Jie, MA Yanfang. Inventory-allocation planning problem with defective item disposal under fuzzy random environment [J]. Computer Engineering and Applications, 2018, 54(24): 241-251.
[14]	HU Min, WANG Tengfei, HUANG Hongcheng. Software-defined wireless sensor networks routing algorithm based on extremum disturbed particle swarm optimization [J]. Computer Engineering and Applications, 2018, 54(22): 113-118.
[15]	SHI Jianli1, ZHANG Jin2. Particle swarm optimization for split delivery vehicle routing problem with stochastic demands [J]. Computer Engineering and Applications, 2018, 54(21): 230-239.

Method of tearing and decoupling for coupled function set

一种耦合功能集割裂解耦方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics