A Multistep Iterative Ranking Learning Method for Optimal Project Portfolio Planning of Smart Grid
Optimal project portfolio planning is a typical nonconvex, multiobjective, highly constrained, multitemporal coupling, and combinatorial optimization problem. This paper proposes a novel multistep iterative ranking learning method (MIRL) to solve this complex combinatorial optimization problem from...
Saved in:
| Main Authors: | Cong Liu, Xianghua Li, Jian Liang, Kun Sheng, Lingzhao Kong, Xiaoyan Peng, Wenxin Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2023/1358099 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On the Convergence of Multistep Iteration for Uniformly Continuous Φ-Hemicontractive Mappings
by: Zhiqun Xue, et al.
Published: (2012-01-01) -
On Multistep Iterative Scheme for Approximating the Common Fixed Points of Contractive-Like Operators
by: J. O. Olaleru, et al.
Published: (2010-01-01) -
Convergence of Infinite Family of Multivalued Quasi-Nonexpansive Mappings Using Multistep Iterative Processes
by: Renu Chugh, et al.
Published: (2014-01-01) -
Iterative Multistep Reproducing Kernel Hilbert Space Method for Solving Strongly Nonlinear Oscillators
by: Banan Maayah, et al.
Published: (2014-01-01) -
Automation of multicriteria ranking of students using ePortfolio
by: L. A. Ponomareva, et al.
Published: (2019-12-01)