Krill herd: A new bio-inspired optimization algorithm
By Amir H. Gandomi, Amir Hossein Alavi. 2012
1,850 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/56a516ec64229a097c86f11a8eb70ce8e621df36
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
- Tansel Dökeroğlu
- Amir H. Gandomi
- Xin-She Yang
- Laith Mohammad Abualigah
- Ali Asghar Heidari
- Gaurav Dhiman
- Ayça Deniz
In Computational Theory and Mathematics
- Seyedali Mirjalili
- Amir H. Gandomi
- Xin-She Yang
- Ali Asghar Heidari
- Tansel Dökeroğlu
- Gaurav Dhiman
- Vijay Kumar
- Laith Mohammad Abualigah
Citations in the corpus
- Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering (2017, methodology): “Mutation probability Mu is used as the control parameter for tuning the mutation operator by generating a uniformly distributed random value between [0, 1] [28].”
- Grey wolf optimizer: a review of recent variants and applications (2017, methodology): “SI algorithms include many algorithms such ant colony optimization (ACO) [13], particle swarm optimization (PSO) [15], cuckoo search (CS) [138], krill herd optimization (KH) [29], firefly algorithm (FA) [137], artificial bee colony (ABC) [50], multi-verse optimizer (MVO) [82], ant lion optimizer (AL”
- A comprehensive survey on recent metaheuristics for feature selection (2022, methodology): “Krill Herd (KH) Gandomi & Alavi proposed KH in 2012 [40].”
- A comprehensive review of firefly algorithms (2013, methodology): “Today, some of the more promising swarm-intelligence optimization techniques include the firefly algorithm (FA) [9–12], cuckoo-search [13], and the bat algorithm [14], while new algorithms such as the krill herd bio-inspired optimization algorithm [15] and algorithms for clustering [16,17] also emer”
- Chaos-enhanced accelerated particle swarm optimization (2013, methodology): “Swarm intelligent algorithms, such as particle swarm optimization (PSO) and krill herd algorithms [3], are one of the main categories of the metaheuristic algorithms.”
- Chaotic Krill Herd algorithm (2014, methodology): “In our study, we set V f to 0.02 [8].”