[1] Lin Xiaotong, *, Lin Xiaohui, Huang Wei, et al. Compound Genetics Annealing Optimal Algorithm forRealization of Locus Deduction of a Plane Link [J]. Journal of Southeast University (English Edition), 2002, 18 (4): 310-314. [doi:10.3969/j.issn.1003-7985.2002.04.005]

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Compound Genetics Annealing Optimal Algorithm forRealization of Locus Deduction of a Plane Link()

实现平面连杆变幅机构轨迹复演的 遗传退火混合优化算法的研究

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

18

Issue:

2002 4

Page:

310-314

Research Field:

Mechanical Engineering

Publishing date:

2002-12-30

Info

Title:

Compound Genetics Annealing Optimal Algorithm forRealization of Locus Deduction of a Plane Link

实现平面连杆变幅机构轨迹复演的 遗传退火混合优化算法的研究

Author(s):

Lin Xiaotong^{1, 2*}, Lin Xiaohui², Huang Wei², Wang Ningsheng¹

¹Department of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
²Department of Mechanical Engineering, Southeast University, Nanjing 210096, China

林晓通^{1, 2}, 林晓辉², 黄卫², 王宁生¹

¹南京航空航天大学机电学院, 南京 210016; ²东南大学机械工程系, 南京 210096

Keywords:

genetic annealing algorithm;  luffing mechanism;  optimal algorithm

遗传退火算法;  变幅机构;  优化算法

PACS:

TH112

DOI:

10.3969/j.issn.1003-7985.2002.04.005

Abstract:

A compound algorithm of genetic annealing is designed for optimizing the luffing mechanism locus of a plane link by means of random optimal algorithm, genetic and annealing algorithm. The computing experiment shows that the algorithm has much better steady convergence performance of optimal process and can hunt out the global optimal solution by biggish probability for objective function of multi-peak value.

利用随机优化算法、遗传法和模拟退火法的优点设计了一套遗传退火混合优化算法, 并将其应用于平面连杆变幅机构轨迹复演的优化.计算实践表明, 该算法的稳定收敛性良好, 对多峰值的目标函数能以较大的概率搜索到全局最优解.

References:

[1] Wang Shaomei. Harbor mechanical CAD[M]. Beijing: Communication Press, 1998.158-179.(in Chinese)
[2] Liu Yong, Kang Lishan, Chen Yuping, et al. Genetic algorithm[M]. Beijing: Science Press, 1998.75-132.(in Chinese)
[3] Kang Lishan. Simulated annealing algorithm[M]. Beijing: Science Press, 1998.22-55.(in Chinese)
[4] Li Qingyang, Mo Zizhong, Qi Liqun, et al. Numerical solution of nonlinear equations[M]. Beijing: Science Press, 1997, 123-150.(in Chinese)
[5] Zhu Guangxi, Wan Fei, Liu Wenyu, et al. A new general optimization method of polygon metamorphosis and its applications [J]. Journal of Computer-Aided Design & Computer Graphics, 1999, 11(2): 129-133.(in Chinese)

Memo

Memo:

* Born in 1964, male, graduate, associate professor.

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