Application of multiple tabu search algorithm to solve dynamic economic dispatch considering generator constraints
By S. Pothiya, I. Ngamroo, W. Kongprawechnon. 2008
243 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/144dd62f5674f92fe79b135a2dd7614ae4a911ac
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Rui Bo
- Fangxing Li
- Xiaohua Xia
- Hongbin Sun
- Ahmed M. Elaiw
- Tao Ding
- Behnam Mohammadi-Ivatloo
- Abbas Rabiee
Citations in the corpus
- Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch (2012, unknown): “These include GA [1], quantum GA (QGA) [18], artificial immune system method [19], artificial bee colony algorithm (ABC) [20], PSO [15,16,21,22], multiple TS (MTS) algorithm [23], enhanced cross-entropy method [24], and SA algorithm [25].”
- Optimal dynamic economic dispatch of generation: A review (2010, background): “[76] S.”
- A Bi-Level Branch and Bound Method for Economic Dispatch With Disjoint Prohibited Zones Considering Network Losses (2015, methodology): “evolutionary approach [16], multiple tabu search (MTS) with additional mechanisms [17], Shuffle-Frog leaping algorithm (SFLA) and so on.”
- Economic dispatch using chaotic bat algorithm (2016, unknown): “62 s 5 NPSO-LRS [34] 15,450 15,454 15,452 NA NA 6 MTS [39] 15,450.”