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https://doi.org/10.1080/1331677X.2019.1656097

An efficient hybrid differential evolutionary algorithm for zbilevel optimisation problems

Xing Bao ; College of Business Administration, Zhejiang University of Finance and Economics, Hangzhou, China
Titing Cui ; Applied and Computational Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden
Zhongliang Zheng ; College of Economic and Management, China Agricultural University, Beijing, China;
Haiyun Liu ; Department of Economics, School of Liberal Arts, Tulane University, New Orleans, LA, USA

Puni tekst: engleski, pdf (2 MB) str. 3016-3033 preuzimanja: 50* citiraj
APA 6th Edition
Bao, X., Cui, T., Zheng, Z. i Liu, H. (2019). An efficient hybrid differential evolutionary algorithm for zbilevel optimisation problems. Economic research - Ekonomska istraživanja, 32 (1), 3016-3033. https://doi.org/10.1080/1331677X.2019.1656097
MLA 8th Edition
Bao, Xing, et al. "An efficient hybrid differential evolutionary algorithm for zbilevel optimisation problems." Economic research - Ekonomska istraživanja, vol. 32, br. 1, 2019, str. 3016-3033. https://doi.org/10.1080/1331677X.2019.1656097. Citirano 06.04.2020.
Chicago 17th Edition
Bao, Xing, Titing Cui, Zhongliang Zheng i Haiyun Liu. "An efficient hybrid differential evolutionary algorithm for zbilevel optimisation problems." Economic research - Ekonomska istraživanja 32, br. 1 (2019): 3016-3033. https://doi.org/10.1080/1331677X.2019.1656097
Harvard
Bao, X., et al. (2019). 'An efficient hybrid differential evolutionary algorithm for zbilevel optimisation problems', Economic research - Ekonomska istraživanja, 32(1), str. 3016-3033. https://doi.org/10.1080/1331677X.2019.1656097
Vancouver
Bao X, Cui T, Zheng Z, Liu H. An efficient hybrid differential evolutionary algorithm for zbilevel optimisation problems. Economic research - Ekonomska istraživanja [Internet]. 2019 [pristupljeno 06.04.2020.];32(1):3016-3033. https://doi.org/10.1080/1331677X.2019.1656097
IEEE
X. Bao, T. Cui, Z. Zheng i H. Liu, "An efficient hybrid differential evolutionary algorithm for zbilevel optimisation problems", Economic research - Ekonomska istraživanja, vol.32, br. 1, str. 3016-3033, 2019. [Online]. https://doi.org/10.1080/1331677X.2019.1656097

Sažetak
Bilevel problems are widely used to describe the decision problems with hierarchical upper–lower-level structures in many economic fields. The bilevel optimisation problem (BLOP) is intrinsically NP-hard when its objectives and constraints are complex and the decision variables are large in scale at both levels. An efficient hybrid differential evolutionary algorithm for BLOP (HDEAB) is proposed where the optimal lower level value function mapping method, the differential evolutionary algorithm, k-near- est neighbours (KNN) and a nested local search are hybridised to improve the computational accuracy and efficiency. To show the performance of the HDEAB, numerical studies were conducted on SMD (Sinha, Maro and Deb) instances and an application example of optimising a venture capital staged-financing contract. The results demonstrate that the HDEAB outperforms the BLEAQ (bile- vel evolutionary algorithm based on quadratic approximations) greatly in solving the BLOPs with different scales

Ključne riječi
Bilevel optimisation problem; differential evolutionary algorithm; KNN; nested local search

Hrčak ID: 229625

URI
https://hrcak.srce.hr/229625

Posjeta: 79 *