Analysis and Improvement of the Bacterial Foraging Optimization Algorithm

• DOI: 10.5626/jcse.2014.8.1.1
• Publication Date: 2014-06-26T03:55:45Z
• Authors: Jun Li; Jianwu Dang; Feng Bu; Jiansheng Wang
• Keywords: Position (finance); Swarm intelligence

The Bacterial Foraging Optimization Algorithm is a swarm intelligence optimization algorithm. This paper first analyzes the chemotaxis, as well elimination and dispersal operation, based on basic Algorithm. operation makes bacterium which has found or nearly an optimal position escape away from that position, greatly affects convergence speed of In order to avoid this escape, sphere action can be altered in accordance with generations evolution. Secondly, we put forward algorithm adaptive adjustment step length called improved bacterial foraging (IBFO) after making detailed analysis impacts efficiency accuracy algorithm, chemotaxis operation. classic test functions show IBFO much better than original