Fuzzy c-means clustering and partition entropy for species-best strategy and search mode selection in nonlinear optimization by differential evolution

T Takahama, S Sakai - … on Fuzzy Systems (FUZZ-IEEE 2011), 2011 - ieeexplore.ieee.org
Differential Evolution (DE) is a newly proposed evolutionary algorithm. DE is a stochastic
direct search method using a population or multiple search points. DE has been successfully …
被引用次数：20 相关文章

[引用][C] Fuzzy c-means clustering and partition entropy for species-best strategy and search mode selection in nonlinear optimization by differential evolution

T TAKAHAMA - Proc. 2011 IEEE International Conference on Fuzzy …, 2011 - cir.nii.ac.jp
Fuzzy c-means clustering and partition entropy for species-best strategy and search mode
selection in nonlinear optimization by differential evolution | CiNii Research CiNii 国立情報学 …

Fuzzy c-means clustering and partition entropy for species-best strategy and search mode selection in nonlinear optimization by differential evolution

T Takahama, S Sakai - 2011 IEEE International Conference on Fuzzy Systems … - infona.pl
Differential Evolution (DE) is a newly proposed evolutionary algorithm. DE is a stochastic
direct search method using a population or multiple search points. DE has been successfully …

[引用][C] Fuzzy c-means clustering and partition entropy for species-best strategy and search mode selection in nonlinear optimization by differential evolution

T Takahama, S Sakai - 2011 IEEE International Conference on Fuzzy …, 2011 - cir.nii.ac.jp
Fuzzy c-means clustering and partition entropy for species-best strategy and search mode
selection in nonlinear optimization by differential evolution | CiNii Research CiNii 国立情報学 …