Chaotic Krill Herd algorithm
By Gaige Wang, Lihong Guo, Amir H. Gandomi, Guo-sheng Hao, Heqi Wang. Information Sciences, 2014
541 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/04bf8c1643afada04369292deefee5824b919248
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Seyedali Mirjalili
- Leandro dos S. Coelho
- Seyed Mohammad Mirjalili
- Gai-ge Wang
- Ali Asghar Heidari
- Amir H. Gandomi
- Suash Deb
- Tansel Dökeroğlu
In Computational Theory and Mathematics
- Seyedali Mirjalili
- Leandro dos S. Coelho
- Seyed Mohammad Mirjalili
- Ali Asghar Heidari
- Gai-ge Wang
- Suash Deb
- Amir H. Gandomi
- Mengchu Zhou
Citations in the corpus
- Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm (2015, background): “This problem is a well-known problem in the field of structural optimization [59], in which the fabrication cost of a welded beam should be minimized.”
- SCA: A Sine Cosine Algorithm for solving optimization problems (2016, methodology): “Popular methods in this class are: chaotic maps [13-17], evolutionary operators [18-23], and local searches [24-27].”
- Chaotic Local Search-Based Differential Evolution Algorithms for Optimization (2021, background): “…such as chaotic BBO [40], chaotic bat algorithm [29], [41], chaotic cuckoo search [42], chaotic fruit fly optimization algorithm [43], chaotic krill herd algorithm [44], firefly algorithm with chaos [45], chaotic harmony search algorithm [46], and chaotic imperialist competitive algorithm [47].”