alexa Abstract | A Novel Strategy Adaptation Based Bacterial Foraging Algorithm for Numerical Optimization
ISSN: 2090-4908

International Journal of Swarm Intelligence and Evolutionary Computation
Open Access

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Research Article Open Access


In this paper, a strategy-adaptation-based bacterial foraging optimization (SABFO) algorithm is proposed to
solve the optimization of complex problems. The proposed SABFO algorithm adopts the strategic approach into
chmotaxis step of traditional bacterial foraging optimization (BFO). The proposed method makes each bacterium
swim on different run-lengths, and increases bacterial diversity as well. Five optimization problems of nonlinear
benchmark functions are used to verify the performance of SABFO. Simulation results show that the SABFO obtains
better global optimal solutions than other methods.

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Author(s): Chin-Ling Lee1 and Cheng-Jian Lin2*


Bacterial foraging optimization, Strategy evolution, Numerical optimization, Bacterial foraging optimization, Strategy evolution, Numerical optimization

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