TY - JOUR
T1 - Convergence analysis of shuffled frog leaping algorithm and its modified algorithm
AU - Xiao, Yingying
AU - Chai, Xudong
AU - Li, Bohu
AU - Wang, Qiusheng
PY - 2012/7
Y1 - 2012/7
N2 - Based on the analysis of the conditions of shuffled frog leaping (SFL) algorithm, a modified SFL (MSFL) was proposed to deal with the premature and slow convergence. In MSFL, convergence was analyzed based on the theory of geometrical sequence, and two premature judgments were defined, including the dispersion and the fitness variance, to adaptively adjust the coefficients, for balancing convergence accuracy and rate. Six benchmark functions were proposed to test the performances of MSFL, and experiment simulations show that MSFL has higher precision and good stability.
AB - Based on the analysis of the conditions of shuffled frog leaping (SFL) algorithm, a modified SFL (MSFL) was proposed to deal with the premature and slow convergence. In MSFL, convergence was analyzed based on the theory of geometrical sequence, and two premature judgments were defined, including the dispersion and the fitness variance, to adaptively adjust the coefficients, for balancing convergence accuracy and rate. Six benchmark functions were proposed to test the performances of MSFL, and experiment simulations show that MSFL has higher precision and good stability.
KW - Convergence analysis
KW - Geometrical sequence
KW - Multi-objective optimization problem
KW - Shuffled frog leaping (SFL) algorithm
KW - Update policies
UR - https://www.scopus.com/pages/publications/84865804831
M3 - 文章
AN - SCOPUS:84865804831
SN - 1671-4512
VL - 40
SP - 15-18+28
JO - Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
JF - Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
IS - 7
ER -