Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Huang Lyu Wu"'
Publikováno v:
Applied System Innovation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b1e7f294a298814a81a0388b310ec70
https://doi.org/10.1201/b21811-238
https://doi.org/10.1201/b21811-238
Publikováno v:
Proceedings of the 1st International Conference on Industrial Networks and Intelligent Systems.
In this paper, the robust mutation strategy for differential evolution (DE) is proposed for Enhancing its solution searching abilities. Also, the elitist crossover is involved to produce potential vectors. In the experiments, fifteen CEC 2005 test fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf8398d0465d230dbb778d32c799a172
https://doi.org/10.4108/icst.iniscom.2015.258331
https://doi.org/10.4108/icst.iniscom.2015.258331
Autor:
Huang-Lyu Wu, 吳皇履
102
This paper proposed an adaptive differential evolution algorithm with high diversity population (ADE-HP). The proposed method can increase diversity of population and increase vectors’ searching ability for solving single-objective numeric
This paper proposed an adaptive differential evolution algorithm with high diversity population (ADE-HP). The proposed method can increase diversity of population and increase vectors’ searching ability for solving single-objective numeric
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/53047488535929297577
Publikováno v:
CANDAR
In this paper, there are two mutation strategies and two crossover strategies are involved for enhancing solution searching ability of Differential Evolution (DE). These strategies will be activated according to current solution searching status. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::679190e0c0664546cff156ab023319a5
https://doi.org/10.1109/candar.2013.103
https://doi.org/10.1109/candar.2013.103
Publikováno v:
CANDAR
Due to the real-world optimization problems have grown ever more complex. Solution solving capability and efficiency of optimization algorithms are confronted with serious challenge. In this paper, an Efficient Parameters Adjustment is proposed for D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::220b77a7d69c9890cc04f1ef7e57a9cc
https://doi.org/10.1109/candar.2013.113
https://doi.org/10.1109/candar.2013.113