Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Kunyuan Hu"'
Publikováno v:
IEEE Access, Vol 9, Pp 18867-18875 (2021)
Semantic segmentation is a task that covers most of the perception needs of intelligent vehicles in an unified way. Recent studies witnessed that attention mechanisms achieve impressive performance in computer vision task. Current attention mechanism
Externí odkaz:
https://doaj.org/article/4a69d4f3d574435eb9b3a1a0620e09ae
Autor:
Mingliang Wu, Dongsheng Yang, Bowen Zhou, Zhile Yang, Tianyi Liu, Ligang Li, Zhongfeng Wang, Kunyuan Hu
Publikováno v:
Machines, Vol 9, Iss 12, p 344 (2021)
The flexible job shop scheduling problem has always been the focus of research in the manufacturing field. However, most of the previous studies focused more on efficiency and ignored energy consumption. Energy, especially non-renewable energy, is an
Externí odkaz:
https://doaj.org/article/8b37111594ab46e6aaff286376cbdb9d
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2017 (2017)
A hybrid coevolution particle swarm optimization algorithm with dynamic multispecies strategy based on K-means clustering and nonrevisit strategy based on Binary Space Partitioning fitness tree (called MCPSO-PSH) is proposed. Previous search history
Externí odkaz:
https://doaj.org/article/963a4527a9b74ca4bfcd7b86b5959778
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2014 (2014)
This paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization (HABC), for multilevel threshold image segmentation, which employs a pool of optimal foraging strategies to extend the classical artificial be
Externí odkaz:
https://doaj.org/article/ce9176d3655548d0b6475e3c20d4b18f
Publikováno v:
Journal of Applied Mathematics, Vol 2014 (2014)
This paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization (HABC), to tackle complex high-dimensional problems. In the proposed multilevel model, the higher-level species can be aggregated by the subpo
Externí odkaz:
https://doaj.org/article/08c2c6ee836940c3ab7e92eb8292934a
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
This paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization, called HABC, to tackle the radio frequency identification network planning (RNP) problem. In the proposed multilevel model, the higher-level
Externí odkaz:
https://doaj.org/article/0d7a7e47b3d74f8ab3404b2ab5de9517
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 10 (2014)
Understanding the urban mobility patterns is essential for the planning and management of public infrastructure and transportation services. In this paper we focus on taxicab moving trajectory records and present a new approach to modeling and analyz
Externí odkaz:
https://doaj.org/article/236e07ca075c47f6846764da625f7ea4
Publikováno v:
Abstract and Applied Analysis, Vol 2011 (2011)
Bacterial Foraging Optimization (BFO) is a recently developed nature-inspired optimization algorithm, which is based on the foraging behavior of E. coli bacteria. Up to now, BFO has been applied successfully to some engineering problems due to its si
Externí odkaz:
https://doaj.org/article/fda0f82a5abe4439babbbb56b7d2681c
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2010 (2010)
This paper presents a novel optimization model called hierarchical swarm optimization (HSO), which simulates the natural hierarchical complex system from where more complex intelligence can emerge for complex problems solving. This proposed model is
Externí odkaz:
https://doaj.org/article/72e8678a34ce4e50b5372dc6c5e554da
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2009 (2009)
Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. This paper presents a variation on the original BFO algorithm, namely, the Cooperative Bacterial Foraging Optimization
Externí odkaz:
https://doaj.org/article/d2f09d9ac97e4a36add824807c20fc26