BFO with Information Communicational System Based on Different Topologies Structure

摘要

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.