A new optimization algorithm of kinoforms based on simulated annealing

被引:0
|
作者
Nozaki, Shinya [1 ]
Chen, Yen-Wei [2 ]
Nakao, Zensho [3 ]
机构
[1] Okinawa Natl Coll Technol, Dept Informat & Commun Syst Engn, 905 Henoko, Okinawa 9052192, Japan
[2] Ritsumeikan Univ, Shiga 5258577, Japan
[3] Univ Ryukyus, Dept Elect & Elect Engn, Okinawa 9030213, Japan
关键词
computer generated holography; kinoform; optimization; random phase; simulated annealing;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A new optimization scheme based on Simulated Annealing (SA) is proposed for synthesizing the kinoforms. An initial kinoform is obtained by the Fourier transform of the input image with a random phase. The random phase distribution is then optimized by simulated annealing in order to reduce the variance of the spectrum. Compared with conventional SA-based method, in which optimization is performed to the kinoform, the proposed method can significantly improve the convergence and reduce the computation cost.
引用
收藏
页码:303 / 310
页数:8
相关论文
共 50 条
  • [21] Study on the layout optimization of platform based on simulated annealing algorithm
    Zheng, Dequan
    Zheng, D. (zhengdequan@hit.edu.cn), 1793, Academy Publisher (08): : 1793 - 1800
  • [22] Particle Swarm Optimization Algorithm Based on the Idea of Simulated Annealing
    Dong Chaojun
    Qiu Zulian
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2006, 6 (10): : 152 - 157
  • [23] An New Clustering Algorithm Based on QPSO and Simulated Annealing
    Wang, Yong
    Xu, Wenbo
    Sun, Jun
    DCABES 2008 PROCEEDINGS, VOLS I AND II, 2008, : 644 - 648
  • [24] A NEW POPULATOIN-BASED SIMULATED ANNEALING ALGORITHM
    Zhou, Enlu
    Chen, Xi
    PROCEEDINGS OF THE 2010 WINTER SIMULATION CONFERENCE, 2010, : 1211 - 1222
  • [25] A new approach based on simulated annealing for kinoform optimization
    Nozaki, S
    Chen, YW
    Nakao, Z
    PRACTICAL HOLOGRAPHY XIV AND HOLOGRAPHIC MATERIALS VI, 2000, 3956 : 160 - 166
  • [26] Improvement of Original Particle Swarm Optimization Algorithm Based on Simulated Annealing Algorithm
    Cong Liang
    Hu Chengquan
    Guo Zongpeng
    Jiang Yu
    Sha Lihua
    PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 6, 2008, : 671 - 676
  • [27] Cooperative evolutionary algorithm based on particle swarm optimization and simulated annealing algorithm
    Division of System Simulation and Computer Application, Taiyuan University of Science and Technology, Taiyuan 030024, China
    Zidonghua Xuebao, 2006, 4 (630-635):
  • [28] A cooperative evolutionary algorithm based on simulated annealing algorithm and particle swarm optimization
    Wang, LF
    Zeng, JC
    PROGRESS IN INTELLIGENCE COMPUTATION & APPLICATIONS, 2005, : 19 - 25
  • [29] Ant Colony Algorithm and Simulated Annealing Algorithm Based Process Route Optimization
    Zhai, Dehui
    Zhang, Faping
    Gao, Bo
    Han, Wenli
    Zhang, Tiguang
    Zhang, Jiajun
    2014 SECOND INTERNATIONAL CONFERENCE ON ENTERPRISE SYSTEMS (ES), 2014, : 102 - 107
  • [30] A New Hybrid Simulated Annealing Algorithm for Large Scale Global Optimization
    Kadry, Seifedine
    El Hami, Abdelkhalak
    INTERNATIONAL JOURNAL OF MANUFACTURING MATERIALS AND MECHANICAL ENGINEERING, 2015, 5 (03) : 24 - 36