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The bacterial foraging optimization (BFO) algorithm is a nature and biologically inspired computing method. We propose an alternative solution integrating bacterial foraging optimization algorithm and tabu search (TS) algorithm namely TS-BFO. We modify the original BFO via established a self-control multi-length chemotactic step mechanism, and introduce rao metric. We utilize it to solve motif discovery...
Extracting motifs in the sea of DNA sequences is an intricate task but have great significance. We propose an alternative solution integrating bacterial foraging optimization (BFO) algorithm and Tabu search (TS) algorithm namely TS-BFO. We modify the original BFO via established a self-control multi-length chemotactic step mechanism, and introduce Rao metric. The experiments on real data set extracted...
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