Abstract
Bacterial foraging optimization (BFO) is a swarm intelligent algorithm which draws inspiration from the foraging behavior of Escherichia coli. This paper improves BFO by introduced information communicational system in which bacteria share information according to neighbor topologies to slow down the premature convergence. The effects of full connected topology, ring topology, star topology and Von Neumann topology on the BFO are systematically investigated, and the new BFO algorithms are named as BFO-FC, BFO-R, BFO-S, and BFO-VM, respectively. Experimental results on four benchmark functions validate the effectiveness of the proposed algorithms.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
