Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jiang-Di Song"'
Publikováno v:
Information, Vol 6, Iss 1, Pp 49-68 (2015)
In order to realize the fault diagnosis of the polyvinyl chloride (PVC) polymerization kettle reactor, a rough set (RS)–probabilistic neural networks (PNN) fault diagnosis strategy is proposed. Firstly, through analysing the technique of the PVC po
Externí odkaz:
https://doaj.org/article/75f4933d05e84e6cb18bacaa0d328f47
Autor:
Jie-sheng Wang, Jiang-di Song
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 9, Iss 3 (2016)
Biogeography-based optimization (BBO) algorithm is based on species migration between habitats to complete information circulation and sharing, which achieves the global optimization by improving the adaptability of habitats. In this paper, the basic
Externí odkaz:
https://doaj.org/article/3baa75f615d74a6f87519d0c95f22a08
Publikováno v:
Algorithms, Vol 9, Iss 2, p 23 (2016)
The fireworks algorithm (FA) is a new parallel diffuse optimization algorithm to simulate the fireworks explosion phenomenon, which realizes the balance between global exploration and local searching by means of adjusting the explosion mode of firewo
Externí odkaz:
https://doaj.org/article/aff2ef6730a2444a9b9b7b2f4f32b6c0
Autor:
Jie-Sheng Wang, Jiang-Di Song
Publikováno v:
Algorithms, Vol 9, Iss 1, p 3 (2015)
The gravitational search algorithm (GSA) is a kind of swarm intelligence optimization algorithm based on the law of gravitation. The parameter initialization of all swarm intelligence optimization algorithms has an important influence on the global o
Externí odkaz:
https://doaj.org/article/5199960543904bbc8b937797d56fc7a0
Autor:
Jie-Sheng Wang1,2 wang_jiesheng@126.com, Jiang-Di Song3 sjd2011@163.com
Publikováno v:
IAENG International Journal of Applied Mathematics. 2017, Vol. 47 Issue 1, p82-88. 7p.
Autor:
Jie-Sheng Wang1,2 wang_jiesheng@126.com, Jiang-Di Song1 sjd2011@163.com
Publikováno v:
Engineering Letters. 2017, Vol. 25 Issue 1, p22-29. 8p.
Autor:
Jie-Sheng Wang1,2 wang_jiesheng@126.com, Jiang-Di Song1 sjd2011@163.com
Publikováno v:
Algorithms. 2016, Vol. 9 Issue 1, p3. 13p.
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2015 (2015)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
In order to improve convergence velocity and optimization accuracy of the cuckoo search (CS) algorithm for solving the function optimization problems, a new improved cuckoo search algorithm based on the repeat-cycle asymptotic self-learning and self-
Autor:
Jie-Sheng Wang, Jiang-Di Song
Publikováno v:
IAENG International Journal of Computer Science; May2017, Vol. 44 Issue 2, p127-139, 13p