Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Zhewen Shi"'
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 17:665-673
Publikováno v:
Journal of Electrical Engineering & Technology. 17:1993-2001
Dissolved gas analysis (DGA) method is widely used to detect the incipient fault of power transformers. This paper presents a novel DGA method for power transformer fault diagnosis based on Harris-Hawks-optimization (HHO) algorithm optimized kernel e
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811915314
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::507b24f7d5e223de72ffd462ba5f0084
https://doi.org/10.1007/978-981-19-1532-1_110
https://doi.org/10.1007/978-981-19-1532-1_110
Publikováno v:
Neurocomputing. 70:672-679
Center particle swarm optimization algorithm (CenterPSO) is proposed where a center particle is incorporated into linearly decreasing weight particle swarm optimization (LDWPSO). Unlike other ordinary particles in LDWPSO, the center particle has no e
Publikováno v:
Journal of Software. 6
Many scientific and engineering applications involve finding more than one optimum. A comprehensive review of the existing works done in the field of multimodal function optimization was given and a critical analysis of the existing methods was also
Publikováno v:
2010 Chinese Conference on Pattern Recognition (CCPR).
Publikováno v:
2010 The 2nd Conference on Environmental Science and Information Application Technology.
Because single feature lacks in the universality in Content-based image retrieval, this paper presented a dynamic weights adjustment strategy, which combined features in image retrieval. First, utilizing the spatial distribution of color of local col
Publikováno v:
2009 Second International Symposium on Knowledge Acquisition and Modeling.
Community detection is always an outstanding problem in the study of networked systems such as social networks and computer networks. In this paper, a novel method based on particle swarm optimization is proposed to detect community structures by opt
Publikováno v:
Artificial Intelligence and Soft Computing – ICAISC 2006 ISBN: 9783540357483
ICAISC
ICAISC
Adaptive inertia weight is proposed to rationally balance the global exploration and local exploitation abilities for particle swarm optimization. The resulting algorithm is called adaptive inertia weight particle swarm optimization algorithm (AIW-PS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f06e6f2f23ebced671f5bd961a4a9a7
https://doi.org/10.1007/11785231_48
https://doi.org/10.1007/11785231_48
Publikováno v:
SMC (4)
Particle swarm optimization, a new good swarm intelligence paradigm, has been successfully applied to many non-linear optimization problems. In a swarm each particle adjusts it's flying toward a promising area depending on cooperative interaction wit