Comprehensive learning cuckoo search with chaos-lambda method for solving economic dispatch problems-Reference-Cited by-同舟云学术

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Comprehensive learning cuckoo search with chaos-lambda method for solving economic dispatch problems

Published:2020-03-25 Issue:9 Volume:50 Page:2779-2799
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Huang Zhenyu^ORCID,Zhao Jian,Qi Liang,Gao Zhengzhong,Duan Hua

Funder

NSFC

Sci. & Tech. Development Fund of Shandong Province of China

Humanities and Social Science Research Project of Ministry of Education

Taishan Scholar Climbing Program of Shandong Province and SDUST Research Fund

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10489-020-01654-y.pdf

Reference43 articles.

1. Al-Betar MA, Awadallah MA, Khader AT, Bolaji AL (2016) Tournament-based harmony search algorithm for non-convex economic load dispatch problem. Appl Soft Comput 47:449– 459

2. Al-Betar MA, Awadallah MA, Khader AT, Bolaji AL, Almomani A (2018) Economic load dispatch problems with valve-point loading using natural updated harmony search. Neural Comput Applic 29(10):767–781

3. Bai T, Yb Kan, Jx Chang, Huang Q, Chang FJ (2017) Fusing feasible search space into pso for multi-objective cascade reservoir optimization. Appl Soft Comput 51:328–340

4. Barani F, Mirhosseini M, Nezamabadi-Pour H (2017) Application of binary quantum-inspired gravitational search algorithm in feature subset selection. Appl Intell 47(2):304–318

5. Basu M (2015) Modified particle swarm optimization for nonconvex economic dispatch problems. International Journal of Electrical Power & Energy Systems 69:304–312

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