A derivation of the number of minima of the Griewank function

被引:17
作者
Cho, Huidae [1 ]
Olivera, Francisco [1 ]
Guikema, Seth D. [2 ]
机构
[1] Texas A&M Univ, Dept Civil Engn, College Stn, TX 77843 USA
[2] Johns Hopkins Univ, Dept Geog & Environm Engn, Baltimore, MD 21218 USA
关键词
Griewank function; Local minima; Optimization; Multi-modal optimization;
D O I
10.1016/j.amc.2008.07.009
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The Griewank function is commonly used to test the ability of different solution procedures to find local optima. It is important to know the exact number of minima of the function to support its use as a test function. However, to the best of our knowledge, no attempts have been made to analytically derive the number of minima. Because of the complex nature of the function surface, a numerical method is developed to restrict domain spaces to hyperrectangles satisfying certain conditions. Within these domain spaces, an analytical method to count the number of minima is derived and proposed as a recursive functional form. The numbers of minima for two search spaces are provided as a reference. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:694 / 701
页数:8
相关论文
共 15 条
  • [1] ACAN A, 2005, P C EV COMP, V2, P1875
  • [2] Locating multiple optima using particle swarm optimization
    Brits, R.
    Engelbrecht, A. P.
    van den Bergh, F.
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2007, 189 (02) : 1859 - 1883
  • [3] Scalability of niche PSO
    Brits, R
    Engelbrecht, AP
    van den Bergh, F
    [J]. PROCEEDINGS OF THE 2003 IEEE SWARM INTELLIGENCE SYMPOSIUM (SIS 03), 2003, : 228 - 234
  • [4] GENERALIZED DESCENT FOR GLOBAL OPTIMIZATION
    GRIEWANK, AO
    [J]. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 1981, 34 (01) : 11 - 39
  • [5] A particle swarm optimizer with passive congregation
    He, S
    Wu, QH
    Wen, JY
    Saunders, JR
    Paton, RC
    [J]. BIOSYSTEMS, 2004, 78 (1-3) : 135 - 147
  • [6] Kennedy J, 2000, IEEE C EVOL COMPUTAT, P1507, DOI 10.1109/CEC.2000.870832
  • [7] KHEMKA N, 2004, P 6 INT MATH S BANFF
  • [8] KRINK T, 2002, P 2002 C EV COMP, V2, P1474
  • [9] A note on the Griewank test function
    Locatelli, M
    [J]. JOURNAL OF GLOBAL OPTIMIZATION, 2003, 25 (02) : 169 - 174
  • [10] Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
    Meissner, Michael
    Schmuker, Michael
    Schneider, Gisbert
    [J]. BMC BIOINFORMATICS, 2006, 7 (1)