Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Chengyi Le"'
Autor:
Chengyi Le, Wenxin Li
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
The phenomenon of knowledge withholding is a vital issue that undermines knowledge sharing and innovation, hinders the development of offline and online organizations. Clarifying the relationship between influencing factors and knowledge withholding
Externí odkaz:
https://doaj.org/article/5117aff6599246df82b269d329cd3b06
Publikováno v:
Symmetry, Vol 11, Iss 8, p 1049 (2019)
Engineering design optimization in real life is a challenging global optimization problem, and many meta-heuristic algorithms have been proposed to obtain the global best solutions. An excellent meta-heuristic algorithm has two symmetric search capab
Externí odkaz:
https://doaj.org/article/3ef44959c22a4398ac9d53ac4ac8f041
Publikováno v:
Entropy, Vol 21, Iss 5, p 494 (2019)
Global optimization, especially on a large scale, is challenging to solve due to its nonlinearity and multimodality. In this paper, in order to enhance the global searching ability of the firefly algorithm (FA) inspired by bionics, a novel hybrid met
Externí odkaz:
https://doaj.org/article/26ce010869754e739d534c6fe3118001
Publikováno v:
Journal of Human Resource and Sustainability Studies. :1-19
The exchange and sharing of user knowledge in the brand virtual community is an important way for enterprise product innovation. Therefore, how to encourage users to share their knowledge continuously in the brand virtual community is a key issue. Ba
Autor:
Guocheng Li, Chengyi Le
Publikováno v:
2019 4th International Conference on Control and Robotics Engineering (ICCRE).
Feature selection aims to find an optimal subset from a given set of features. As this task can be seen as a challenging combinatorial optimization problem while the classical optimization techniques have some limitations in solving it. In this paper
Autor:
Chengyi Le
Publikováno v:
Interdisciplinary Journal of Information, Knowledge, and Management, Vol 11, Pp 261-271 (2016)
Introduction Employees, both the creators and users of knowledge, are enterprises' key resources and sources of knowledge (Nonaka & Konno, 1998). The construction and development of enterprise knowledge base relies on staff s collective participation
Publikováno v:
Symmetry; Volume 11; Issue 8; Pages: 1049
Symmetry, Vol 11, Iss 8, p 1049 (2019)
Symmetry, Vol 11, Iss 8, p 1049 (2019)
Engineering design optimization in real life is a challenging global optimization problem, and many meta-heuristic algorithms have been proposed to obtain the global best solutions. An excellent meta-heuristic algorithm has two symmetric search capab
Publikováno v:
Entropy
Volume 21
Issue 5
Entropy, Vol 21, Iss 5, p 494 (2019)
Volume 21
Issue 5
Entropy, Vol 21, Iss 5, p 494 (2019)
Global optimization, especially on a large scale, is challenging to solve due to its nonlinearity and multimodality. In this paper, in order to enhance the global searching ability of the firefly algorithm (FA) inspired by bionics, a novel hybrid met
Publikováno v:
Enterprise Information Systems. 7:375-393
Knowledge is becoming the most important resource for more and more enterprises and increases exponentially, but there is not an effective method to evaluate them cogently. Based on Web2.0, this article firstly builds an enterprise knowledge sharing
Publikováno v:
2015 2nd International Conference on Information Science and Control Engineering.
The scheme design of motor system energy-saving (MSES) has a significant influence on the effort to reduce energy consumption. The framework and functions of a decision support system (DSS) are proposed for selection and evaluation of the MSES scheme