ONMCGP: Orthogonal Neighbourhood Mutation Cartesian Genetic Programming for Evolvable Hardware

被引：0
|
作者：
Ni, Fuchuan [1 ]
Li, Yuanxiang [1 ]
Ke, Peng [1 ]
机构：
[1] State Key Lab Software Engn, Wuhan, Peoples R China
来源：
2ND INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES 2013 (IC-MSQUARE 2013) | 2014年 / 490卷
关键词：
D O I：
10.1088/1742-6596/490/1/012194
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Evolvable Hardware is facing the problems of scalability and stalling effect. This paper proposed a novel Orthogonal Neighbourhood Mutation(ONM) operator in Cartesian genetic programming (CGP), to reduce the stalling effect in CGP and improve the efficiency of the algorithms. The method incorporates with Differential Evolution strategy. Demonstrated by experiments on benchmark, the proposed Orthogonal Neighbourhood Search can jump out of Local optima, reduce the stalling effect in CGP and the algorithm convergence faster.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] An Orthogonal Cartesian Genetic Programming Algorithm for Evolvable Hardware
    Ni, Fuchuan
    Li, Yuanxiang
    Yang, Xiaoyan
    Ni, Fuchuan
    Xiang, Jinhai
    [J]. 2014 INTERNATIONAL CONFERENCE ON IDENTIFICATION, INFORMATION AND KNOWLEDGE IN THE INTERNET OF THINGS (IIKI 2014), 2014, : 220 - 224
  • [2] On the scalability of evolvable hardware architectures: comparison of systolic array and Cartesian genetic programming
    Javier Mora
    Rubén Salvador
    Eduardo de la Torre
    [J]. Genetic Programming and Evolvable Machines, 2019, 20 : 155 - 186
  • [3] On the scalability of evolvable hardware architectures: comparison of systolic array and Cartesian genetic programming
    Mora, Javier
    Salvador, Ruben
    de la Torre, Eduardo
    [J]. GENETIC PROGRAMMING AND EVOLVABLE MACHINES, 2019, 20 (02) : 155 - 186
  • [4] Evolvable hardware using genetic programming
    Nedjah, N
    Mourelle, LD
    [J]. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING, 2003, 2690 : 321 - 328
  • [5] Hardware accelerators for Cartesian genetic programming
    Vasicek, Zdenek
    Sekanina, Lukas
    [J]. GENETIC PROGRAMMING, PROCEEDINGS, 2008, 4971 : 230 - +
  • [6] Genetic programming of process decomposition strategies for evolvable hardware
    Seok, HS
    Lee, KJ
    Zhang, BT
    Lee, DW
    Sim, KB
    [J]. SECOND NASA/DOD WORKSHOP ON EVOLVABLE HARDWARE, PROCEEDINGS, 2000, : 25 - 34
  • [7] Evolutionary calibration of sensors using genetic programming on evolvable hardware
    Seok, HS
    Zhang, BT
    [J]. PROCEEDINGS OF THE 2001 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2001, : 630 - 634
  • [8] FMCGP: frameshift mutation cartesian genetic programming
    Wei Fang
    Mindan Gu
    [J]. Complex & Intelligent Systems, 2021, 7 : 1195 - 1206
  • [9] Mutation rate for evolvable hardware
    Stomeo, E
    Kalganova, T
    Lambert, C
    [J]. ENFORMATIKA, VOL 7: IEC 2005 PROCEEDINGS, 2005, : 117 - 124
  • [10] Refining Mutation Variants in Cartesian Genetic Programming
    Cui, Henning
    Margraf, Andreas
    Haehner, Joerg
    [J]. BIOINSPIRED OPTIMIZATION METHODS AND THEIR APPLICATIONS, 2022, 13627 : 185 - 200
12345