Elite-guided multi-objective cuckoo search algorithm based on crossover operation and information enhancement-Reference-Cited by-同舟云学术

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Elite-guided multi-objective cuckoo search algorithm based on crossover operation and information enhancement

Published:2022-11-03 Issue:8 Volume:27 Page:4761-4778
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Yang Xunian,Hao Xiaochen,Yang Tianqi,Li Yonghang,Zhang Yuxuan,Wang Junwei

Funder

the National Natural Science Foundation of China

the Hebei Provincial Natural Science Foundation

the Hebei Provincial Science and Technology Plan Project

the Second Batch of Youth Top-notch Talent Support Program in Hebei Province

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-022-07605-8.pdf

Reference54 articles.

1. Abdel-Baset M, Zhou Y, Ismail M (2018) An improved cuckoo search algorithm for integer programming problems. Int J Comput Sci Math 9(1):66–81

2. Ashraf A, Almazroi AA, Bangyal WH, Alqarni MA (2022) Particle swarm optimization with new initializing technique to solve global optimization problems. Intell Autom Soft Comput 31:191–206. https://doi.org/10.32604/IASC.2022.015810

3. Cao Z, Wang L (2019) An active learning brain storm optimization algorithm with a dynamically changing cluster cycle for global optimization. Clust Comput 22:1413–1429

4. Chen L, Gan W, Li H, Cheng K, Pan D, Chen L, Zhang Z (2021) Solving multi-objective optimization problem using cuckoo search algorithm based on decomposition. Appl Intell 51(1):143–160. https://doi.org/10.1007/s10489-020-01816-y

5. Cui Z, Zhang M, Wang H, Cai X, Zhang W (2019) A hybrid many-objective cuckoo search algorithm. Soft Comput 23(21):10681–10697. https://doi.org/10.1007/s00500-019-04004-4

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