,
volume 32
,
issue 5
,
pages 805-829
An improved invasive weed optimization algorithm for solving dynamic economic dispatch problems with valve-point effects
Publication type: Journal Article
Publication date: 2019-10-11
scimago Q2
wos Q3
SJR: 0.535
CiteScore: 6.3
Impact factor: 1.7
ISSN: 0952813X, 13623079
Artificial Intelligence
Software
Theoretical Computer Science
Abstract
In this study, an improved invasive weed optimisation (CMIWO) algorithm is investigated to solve the dynamic economic dispatch (DED) problem with valve-point effects. In the proposed algorithm, a h...
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Metrics
18
Total citations:
18
Citations from 2024:
6
(33.33%)
Cite this
GOST |
RIS |
BibTex |
MLA
Cite this
GOST
Copy
Zheng Z. et al. An improved invasive weed optimization algorithm for solving dynamic economic dispatch problems with valve-point effects // Journal of Experimental and Theoretical Artificial Intelligence. 2019. Vol. 32. No. 5. pp. 805-829.
GOST all authors (up to 50)
Copy
Zheng Z., Li J., Li J., Han Yu., Han Y. An improved invasive weed optimization algorithm for solving dynamic economic dispatch problems with valve-point effects // Journal of Experimental and Theoretical Artificial Intelligence. 2019. Vol. 32. No. 5. pp. 805-829.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1080/0952813x.2019.1673488
UR - https://doi.org/10.1080/0952813x.2019.1673488
TI - An improved invasive weed optimization algorithm for solving dynamic economic dispatch problems with valve-point effects
T2 - Journal of Experimental and Theoretical Artificial Intelligence
AU - Zheng, Zhi
AU - Li, Jun
AU - Li, Junqing
AU - Han, Yu
AU - Han, Yuyan
PY - 2019
DA - 2019/10/11
PB - Taylor & Francis
SP - 805-829
IS - 5
VL - 32
SN - 0952-813X
SN - 1362-3079
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2019_Zheng,
author = {Zhi Zheng and Jun Li and Junqing Li and Yu Han and Yuyan Han},
title = {An improved invasive weed optimization algorithm for solving dynamic economic dispatch problems with valve-point effects},
journal = {Journal of Experimental and Theoretical Artificial Intelligence},
year = {2019},
volume = {32},
publisher = {Taylor & Francis},
month = {oct},
url = {https://doi.org/10.1080/0952813x.2019.1673488},
number = {5},
pages = {805--829},
doi = {10.1080/0952813x.2019.1673488}
}
Cite this
MLA
Copy
Zheng, Zhi, et al. “An improved invasive weed optimization algorithm for solving dynamic economic dispatch problems with valve-point effects.” Journal of Experimental and Theoretical Artificial Intelligence, vol. 32, no. 5, Oct. 2019, pp. 805-829. https://doi.org/10.1080/0952813x.2019.1673488.