Cellular learning automata based evolutionary computing (CLA-EC) for intrinsic hardware evolution

被引：5
|
作者：
Hariri, A [1 ]
Rastegar, R [1 ]
Navi, K [1 ]
Zamani, MS [1 ]
Meybodi, MR [1 ]
机构：
[1] Shahid Beheshti Univ Med Sci, Tehran, Iran
来源：
2005 Nasa/DoD Conference on Evolvable Hardware (EH-2005), Proceedings | 2005年
关键词：
D O I：
10.1109/EH.2005.12
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Evolvable Hardware (EHW) deals with the application of evolutionary algorithms in hardware design. In intrinsic EHW, the evolutionary algorithm or the fitness evaluation is implemented in hardware. In this case, there is a need for hardware-friendly algorithms. In this work, we introduce Cellular Learning Automata based Evolutionary Computing (CLA-EC) as a new algorithm for intrinsic hardware evolution. The parallel structure of CLA-EC makes it suitable for EHW. Therefore, in this work we consider the application of this algorithm to EHW.
引用
收藏
页码：294 / 297
页数：4
相关论文
共 50 条
  • [1] Parallel hardware implementation of cellular learning automata based evolutionary computing (CLA-EC) on FPGA
    Hariri, A
    Rastegar, R
    Zamani, MS
    Meybodi, MR
    FCCM 2005: 13TH ANNUAL IEEE SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES, PROCEEDINGS, 2005, : 311 - 313
  • [2] A new evolutionary computing model based on cellular learning automata
    Rastegar, R
    Meybodi, MR
    2004 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2004, : 433 - 438
  • [3] New Feature Selection Method based on CLA-EC in Face Recognition System
    Bishak, Akhtar Hazrati
    Faez, Karim
    Bishak, Morteza Hazrati
    JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS, 2012, 4 (02): : 159 - 171
  • [4] A Genetically based Evolutionary Computing Technique based on Cellular Automata
    Sahoo, G.
    Humor, Tapas
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2007, 7 (11): : 26 - 31
  • [5] Hardware architectures for the evolution of cellular automata functionality
    Glesner, M.
    Soffke, O.
    Zipf, P.
    COMPLEX COMPUTING-NETWORKS: BRAIN-LIKE AND WAVE-ORIENTED ELECTRODYNAMIC ALGORITHMS, 2006, 104 : 257 - +
  • [6] On a hardware architecture for the evolution of cellular automata functionality
    Zipf, P
    Soffke, O
    Schumacher, A
    Dogaru, R
    Glesner, M
    ISSCS 2005: INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS, VOLS 1 AND 2, PROCEEDINGS, 2005, : 91 - 94
  • [7] CLA-DE: a hybrid model based on cellular learning automata for numerical optimization
    Vafashoar, R.
    Meybodi, M. R.
    Azandaryani, A. H. Momeni
    APPLIED INTELLIGENCE, 2012, 36 (03) : 735 - 748
  • [8] CLA-DE: a hybrid model based on cellular learning automata for numerical optimization
    R. Vafashoar
    M. R. Meybodi
    A. H. Momeni Azandaryani
    Applied Intelligence, 2012, 36 : 735 - 748
  • [9] Reservoir Computing Based on Cellular Automata (ReCA) in Sequence Learning
    Margem, Mrwan
    Gedik, Osman S.
    JOURNAL OF CELLULAR AUTOMATA, 2019, 14 (1-2) : 153 - 170
  • [10] Evolutionary Search for Cellular Automata Logic Gates with Collision-Based Computing
    Sapin, Emmanuel
    Bull, Larry
    COMPLEX SYSTEMS, 2008, 17 (04): : 321 - 338
12345