Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Erping Song"'
Autor:
Erping Song
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 13, Pp 2017-2033 (2024)
Abstract Wind farm can obtain the maximize profit by optimizing micro‐locations and cables. The factors that affect profit include the power output of wind turbines, cost and et al., where power output is affected by wake effect, cable cost is rela
Externí odkaz:
https://doaj.org/article/7836df723ef9498f93f192387eb1ae33
Autor:
Erping Song
Publikováno v:
Energy Science & Engineering, Vol 11, Iss 8, Pp 2775-2792 (2023)
Abstract The optimization of offshore wind farms is mainly performed through the deployment of wind farms and submarine cables to maximize power output and minimize cable costs. However, the above results are affected by the wake effect, equipment la
Externí odkaz:
https://doaj.org/article/8f813b2f5a7f422781e4c840e43608f5
Autor:
Erping Song, Hecheng Li
Publikováno v:
IEEE Access, Vol 9, Pp 20035-20050 (2021)
Differential evolution (DE) has been applied to solve complex optimization problems. An effective DE algorithm should be convergent and able to jump out of the local optimal solution. Motivated by these considerations, an improved differential evolut
Externí odkaz:
https://doaj.org/article/fe39b9aa8657476184fe060ddc6e775e
Publikováno v:
2022 18th International Conference on Computational Intelligence and Security (CIS).
Publikováno v:
2022 18th International Conference on Computational Intelligence and Security (CIS).
Autor:
Erping Song, Hecheng Li
Publikováno v:
Connection Science. 34:224-253
In order to effectively use differential evolution (DE) to solve multi-objective optimisation problems, it is necessary to consider how to ensure the search ability of DE. However, the search abili...
Autor:
Erping Song, Hecheng Li
The technology of network function virtualization can effectively reduce the cost of network investment, its key problem is the deployment of virtual network functions, these are transmitted by some data centers. An new model of bi-level optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::204d54203c68da7bdaf3c44a342a515c
https://doi.org/10.21203/rs.3.rs-1984007/v1
https://doi.org/10.21203/rs.3.rs-1984007/v1
Autor:
Erping Song, Hecheng Li
Publikováno v:
Soft Computing. 25:9025-9044
The constrained optimization problem is widely used in real-world applications and always hard to handle when the objective function is multimodal or the constraints are too stringent. In this manuscript, an improved differential evolution algorithm
Autor:
Hecheng Li, Erping Song
Publikováno v:
IEEE Access, Vol 9, Pp 20035-20050 (2021)
Differential evolution (DE) has been applied to solve complex optimization problems. An effective DE algorithm should be convergent and able to jump out of the local optimal solution. Motivated by these considerations, an improved differential evolut
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