Swarm Intelligence: A Review of Algorithms

By Amrita Chakraborty, Arpan Kumar Kar. 2017

373 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cellular and Molecular Neuroscience

View Paper: https://www.semanticscholar.org/paper/22756f6447c7e387e028b470d18b2505e960dcf1

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

1. Yogesh Kumar Dwivedi
2. Nripendra P. Rana
3. John S. Edwards
4. Yanqing Duan
5. Kuttimani Tamilmani
6. Hatice Kizgin
7. Purva Grover
8. Banita Lal

In Cellular and Molecular Neuroscience

1. Yogesh Kumar Dwivedi
2. Purva Grover
3. Arpan Kumar Kar

Citations in the corpus

• Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2019, background): “Reviews of arti fi cial intelligence algorithms (Chakraborty & Kar, 2016; Kar, 2016; Chakraborty & Kar, 2017) have demonstrated that most of these applications are focused on showcasing usage of relatively few approaches.”
• Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions (2020, methodology): “Algorithms of AI typically attempt to mimic the way organisms in nature operate to meet their basic needs like finding food through foraging, reproduction and survival amid changing ecosystem (Kar et al. 2016; Chakraborty and Kar 2017).”