Genetic algorithms - Case based hybrid approach for linear actuators' parameters optimisation

被引：0
|
作者：
Stoilkov, V [1 ]
Cundev, M [1 ]
Petkovska, L [1 ]
Cvetkovski, G [1 ]
机构：
[1] Univ St Cyril & Methudius, Fac Elect Engn, Inst Elect Machines Transformers & Apparatus, Skopje 1000, Macedonia
来源：
ELECTROMAGNETIC FIELDS IN ELECTRICAL ENGINEERING | 2002年 / 22卷
关键词：
Genetic Algorithms; Case Based Reasoning; force-distance characteristic; optimal design; finite element method;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper deals with hybrid genetic algorithms-case based reasoning approach in order to optimise the parameters of the electromagnetic system of the low-voltage AC contactor taken as typical representative of linear actuators. Optimisation is performed with the parameters that influence the force-distance characteristic taken as cost function.
引用
收藏
页码：512 / 517
页数：6
相关论文
共 50 条
  • [1] Tackling the Container Loading problem: A hybrid approach based on Integer Linear Programming and Genetic Algorithms
    Nepomuceno, Napoleao
    Pinheiro, Placido
    Coelho, Andre L. V.
    [J]. EVOLUTIONARY COMPUTATION IN COMBINATORIAL OPTIMIZATION, PROCEEDINGS, 2007, 4446 : 154 - +
  • [2] Optimisation of electric arc model parameters based on simplex annealing and genetic algorithms
    Chmielewski, Tomasz
    Kuczek, Tomasz
    Oramus, Piotr
    [J]. III INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN ENGINEERING SCIENCE (CMES 18), 2019, 252
  • [3] Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach
    Ahn, Hyunchul
    Kim, Kyoung-Jae
    [J]. APPLIED SOFT COMPUTING, 2009, 9 (02) : 599 - 607
  • [4] Hybrid genetic approach to window layout optimisation
    Trivedi, N
    Lai, W
    Millar, J
    [J]. COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - EVOLUTIONARY COMPUTATION & FUZZY LOGIC FOR INTELLIGENT CONTROL, KNOWLEDGE ACQUISITION & INFORMATION RETRIEVAL, 1999, 55 : 92 - 97
  • [5] A hybrid approach to adaptive fuzzy control based on genetic algorithms
    Cupertino, F
    Giordano, V
    Naso, D
    Turchiano, B
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 3607 - 3612
  • [6] Optimisation of HMM topology and its model parameters by genetic algorithms
    Kwong, S
    Chau, CW
    Man, KF
    Tang, KS
    [J]. PATTERN RECOGNITION, 2001, 34 (02) : 509 - 522
  • [7] Hybrid genetic algorithms and case-based reasoning systems
    Ahn, H
    Kim, KJ
    Han, I
    [J]. COMPUTATIONAL AND INFORMATION SCIENCE, PROCEEDINGS, 2004, 3314 : 922 - 927
  • [8] Hybrid genetic algorithms for parameter identification of a hysteresis model of magnetostrictive actuators
    Zheng, Jiaju
    Cao, Shuying
    Wang, Hongli
    Huang, Wenmei
    [J]. NEUROCOMPUTING, 2007, 70 (4-6) : 749 - 761
  • [9] Multi-objective optimisation of real-valued parameters of a hybrid MT system using Genetic Algorithms
    Sofianopoulos, Sokratis
    Tambouratzis, George
    [J]. PATTERN RECOGNITION LETTERS, 2010, 31 (12) : 1672 - 1682
  • [10] A Hybrid approach for integer programming combining genetic algorithms, linear programming and ordinal optimization
    Luo, YC
    Guignard, M
    Chen, CH
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2001, 12 (5-6) : 509 - 519
12345