Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Chun Qin Gu"'
Publikováno v:
Applied Mechanics and Materials. :4185-4189
In this paper, particle swarm optimization (PSO) algorithm is presented to optimize the five-effect evaporator system in a cane sugar production plants and realize the minimum loss of energy.Generally, the energy optimization of five-effect evaporato
Publikováno v:
Expert Systems with Applications. 39:3676-3681
Web service is a new type of component that can be invoked over the internet, and complex network applications can be described as processes invoking web services selected at runtime. The more services are available, the more difficult it becomes to
Publikováno v:
Computers & Operations Research. 38:824-836
In this paper, a rotary chaotic particle swarm optimization (RCPSO) algorithm is presented to solve trustworthy scheduling of a grid workflow. In general, the grid workflow scheduling is a complex optimization problem which requires considering vario
Publikováno v:
2010 3rd International Conference on Computer Science and Information Technology.
As the theoretical studies of discrete particle swarm optimization (PSO) are extremely complex and diversity, empirical analysis and validation are the primary research method as always for all type of discrete PSO algorithms. This paper extends thes
Publikováno v:
ICMLC
In cloud computing environments, computing power, storage, platforms, and software are abstracted and virtualized as all kind of cloud services. Meanwhile complex applications can be described as processes invoking services selected at runtime. As a
Publikováno v:
ICEE
Grid work???ow scheduling in large scale e-Business applications is a complex optimization problem which may require consideration of different scheduling criteria to achieve various quality of service (QoS) requirements. Meanwhile, the researches on
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642149214
ICIC (1)
ICIC (1)
To extend the existing PSO variants to their corresponding discrete versions, this paper presents a novel cyclic discrete optimization framework (CDOF) for particle swarm optimization. The proposed CDOF features the following characteristics. First,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0486302832f0cb53bf24bd540f2a41d1
https://doi.org/10.1007/978-3-642-14922-1_22
https://doi.org/10.1007/978-3-642-14922-1_22
Publikováno v:
2010 3rd IEEE International Conference on Computer Science & Information Technology (ICCSIT); 2010, p293-298, 6p
Publikováno v:
2008 International Conference on Machine Learning & Cybernetics; 2008, p361-368, 8p