Orthogonal genetic algorithm for solving quadratic bilevel programming problems
Article Properties
-
DOI (url)
-
Publication Date2010/10/01
-
Indian UGC (journal)
-
Citations17
-
Hong Li
-
Yongchang Jiao
-
Li Zhang
Cite
Li, Hong, et al. “Orthogonal Genetic Algorithm for Solving Quadratic Bilevel Programming Problems”. Journal of Systems Engineering and Electronics, vol. 21, no. 5, 2010, pp. 763-70, https://doi.org/10.3969/j.issn.1004-4132.2010.05.008.
Li, H., Jiao, Y., & Zhang, L. (2010). Orthogonal genetic algorithm for solving quadratic bilevel programming problems. Journal of Systems Engineering and Electronics, 21(5), 763-770. https://doi.org/10.3969/j.issn.1004-4132.2010.05.008
Li H, Jiao Y, Zhang L. Orthogonal genetic algorithm for solving quadratic bilevel programming problems. Journal of Systems Engineering and Electronics. 2010;21(5):763-70.
Journal Categories
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Engineering (General)
Civil engineering (General)
Technology
Manufactures
Production management
Operations management
Technology
Mechanical engineering and machinery
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Metaheuristics for bilevel optimization: A comprehensive review | Computers & Operations Research |
| 7 | 2024 |
A nonmonton active interior point trust region algorithm based on CHKS smoothing function for solving nonlinear bilevel programming problems | AIMS Mathematics | 2024 | ||
An Active-Set Fischer–Burmeister Trust-Region Algorithm to Solve a Nonlinear Bilevel Optimization Problem | Fractal and Fractional |
| 2 | 2022 |
An interior-point trust-region algorithm to solve a nonlinear bilevel programming problem | AIMS Mathematics | 4 | 2022 | |
An active-set with barrier method and trust-region mechanism to solve a nonlinear Bilevel programming problem | AIMS Mathematics | 2 | 2022 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 6
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Application of a genetic algorithm to n-K power system security assessment and was published in 2013. The most recent citation comes from a 2024 study titled A nonmonton active interior point trust region algorithm based on CHKS smoothing function for solving nonlinear bilevel programming problems. This article reached its peak citation in 2017, with 4 citations. It has been cited in 14 different journals, 21% of which are open access. Among related journals, the AIMS Mathematics cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.