Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Chenye QIU"'
Autor:
Chenye Qiu, Huixing Fang
Publikováno v:
KSII Transactions on Internet & Information Systems; Aug2024, Vol. 18 Issue 8, p2157-2177, 21p
Autor:
Chenye QIU
Publikováno v:
Advances in Electrical & Computer Engineering; 2024, Vol. 24 Issue 1, p41-50, 10p
Autor:
Chenye Qiu
Publikováno v:
Information Technology and Control. 51:575-591
Feature selection is a vital data pre-processing process in many practical applications. Feature selection aims to get rid of those unnecessary features and improve the performance of the classification model. In this paper, a neighborhood based part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd82e362b92779066b95fcaa06f2e3cf
https://doi.org/10.5755/j01.itc.51.3.31271
https://doi.org/10.5755/j01.itc.51.3.31271
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 43:6805-6819
Microgrid (MG) systems are growing at a rapid pace since they can accommodate the high amount of renewable energy. Since the MG consists of small distributed generators (DG) with volatile characteristics, an efficient energy management system is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e976bcae5b47df5eb322505dd9f535d9
https://doi.org/10.3233/jifs-221178
https://doi.org/10.3233/jifs-221178
Autor:
Chenye Qiu, Ning Liu
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 42:6003-6016
This paper proposes a novel two layer differential evolutionary algorithm with multi-mutation strategy (TLDE) for solving the economic emission dispatch (EED) problem involving random wind power. In recent years, renewable energy such as wind power i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f64a1ce865bdd09c7ee1a278577acb1f
https://doi.org/10.3233/jifs-212735
https://doi.org/10.3233/jifs-212735
Publikováno v:
Chinese Management Studies. 17:233-250
Purpose Empowering leadership is often considered unequivocally positive for employees, but recent studies have shown that this ostensibly straightforward effect is more complex. The dual facets of the effect of empowering leadership – especially o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4ee906df8af627c913d594803852e6f
https://doi.org/10.1108/cms-06-2021-0243
https://doi.org/10.1108/cms-06-2021-0243
Autor:
Chenye Qiu
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 11, Iss 1 (2018)
Feature selection (FS) is a crucial data pre-processing process in classification problems. It aims to reduce the dimensionality of the problem by eliminating irrelevant or redundant features while achieve similar or even higher classification accura
Externí odkaz:
https://doaj.org/article/a47c3e8da18a43bc9d9af01044e5862a
Autor:
Chenye Qiu, Ning Liu
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 41:2469-2483
Feature selection (FS) is a vital data preprocessing task which aims at selecting a small subset of features while maintaining a high level of classification accuracy. FS is a challenging optimization problem due to the large search space and the exi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::698a9a3e158f26e2fe81a92f21e258fc
https://doi.org/10.3233/jifs-202647
https://doi.org/10.3233/jifs-202647
Autor:
Chenye Qiu
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 39:871-884
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bc42c0e746cc7004cfe5b17e7d71e40
https://doi.org/10.3233/jifs-191765
https://doi.org/10.3233/jifs-191765
Autor:
Chenye Qiu
Publikováno v:
Genetic Programming and Evolvable Machines. 20:503-529
A novel feature selection method based on a multi-swarm particle swarm optimization (MSPSO) is proposed in this paper. The canonical particle swarm optimization (PSO) has been widely used for feature selection problems. However, PSO suffers from stag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee5fe761e6c032e964aecefb6f36e930
https://doi.org/10.1007/s10710-019-09358-0
https://doi.org/10.1007/s10710-019-09358-0