Biomimicry of Social Foraging Bacteria for Distributed Optimization: Models, Principles, and Emergent Behaviors

By Y. Liu, Kevin M. Passino. 2002

337 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Genetics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/1a44e07d42aa7eb04af053c633be582fee6b058a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Ajith Abraham
2. Swagatam Das
3. Arijit Biswas
4. Stephen M. Frank
5. Steffen Rebennack
6. Sambarta Dasgupta
7. Ingrida Steponavice

In Genetics

1. Swagatam Das
2. Arpan Kumar Kar
3. Vijay Kumar
4. Gaurav Dhiman

In Sociology and Political Science

1. Ajith Abraham
2. Swagatam Das

Citations in the corpus

• Optimal power flow: a bibliographic survey II (2012, background): “In time-varying environments, natural selection tends to eliminate bacteria with poor foraging strategies [103, 125, 126].”
• The Social Engineering Optimizer (SEO) (2018, neutral): “In SA, the intensification phase is done by neighboring whereas the”
• Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications (2009, background): “repellant repellant attractant aatractant , , , w h w d are different coefficients that should be chosen properly [1, 9].”