Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions
By Krishnanand N. Kaipa, Debasish Ghose. Swarm Intelligence, 2009
456 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/54b1393054e0f210b82ed7ee60b54025cc8f8d15
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
- M. N. Ab Wahab
- Xianbing Meng
- Samia Nefti-Meziani
- Adham Atyabi
- Heitor Silvério Lopes
- Lihu Lu
- Yu Liu
- Xiao Zhi Gao
In Computational Theory and Mathematics
- M. N. Ab Wahab
- Xianbing Meng
- Samia Nefti-Meziani
- Adham Atyabi
- Heitor Silvério Lopes
- Yu Liu
- Hengzhen Zhang
- Rafael Stubs Parpinelli
Citations in the corpus
- A new bio-inspired optimisation algorithm: Bird Swarm Algorithm (2016, background): “PSO (Rezaee Jordehi & Jasni, 2013), Ant Colony Optimization (Dorigo & Stutzle, 2004), Artificial Fish Swarm Algorithm (Gao, Wu, Zenger, & Huang, 2010), Artificial Bee Colony (Karaboga & Basturk, 2007), Glowworm Swarm Optimization (Krishnanand & Ghose, 2009), Cuckoo Search (Yang & Deb, 2014), Bat Algor”
- New inspirations in swarm intelligence: a survey (2011, methodology): “The GSO algorithm (Section 2.4.1) was applied in Krishnanand and Ghose (2009) to find multiple optima of multimodal benchmark functions.”
- A Comprehensive Review of Swarm Optimization Algorithms (2015, methodology): “These three parameters change over time [89–91].”