Hubbry Logo
search button
Sign in
Bacterial colony optimization
Bacterial colony optimization
Comunity Hub
History
arrow-down
starMore
arrow-down
bob

Bob

Have a question related to this hub?

bob

Alice

Got something to say related to this hub?
Share it here.

#general is a chat channel to discuss anything related to the hub.
Hubbry Logo
search button
Sign in
Bacterial colony optimization
Community hub for the Wikipedia article
logoWikipedian hub
Welcome to the community hub built on top of the Bacterial colony optimization Wikipedia article. Here, you can discuss, collect, and organize anything related to Bacterial colony optimization. The purpos...
Add your contribution
Bacterial colony optimization

The bacterial colony optimization algorithm is an optimization algorithm which is based on a lifecycle model that simulates some typical behaviors of E. coli bacteria during their whole lifecycle, including chemotaxis, communication, elimination, reproduction, and migration.[1] The bacterial foraging algorithm (BFA) is a biologically inspired swarm intelligence optimization approach that mimics bacteria's foraging activity to gather the most energy available throughout the search phase. Since its introduction in 2002, it has garnered widespread interest from scholars. [2]

References

[edit]
  1. ^ Niu, Ben; Wang, Hong (2012). "Bacterial Colony Optimization". Discrete Dynamics in Nature and Society. 2012: 1–28. doi:10.1155/2012/698057. S2CID 121768687.
  2. ^ Pang, Shinsiong; Chen, Mu-Chen (June 1, 2023). "Optimize railway crew scheduling by using modified bacterial foraging algorithm". Computers & Industrial Engineering. 180: 109218. doi:10.1016/j.cie.2023.109218. ISSN 0360-8352. S2CID 257990456.{{cite journal}}: CS1 maint: article number as page number (link)