© 2016 Betania Hernández-Ocaña et al. This paper presents two-swim operators to be added to the chemotaxis process of the modified bacterial foraging optimization algorithm to solve three instances of the synthesis of four-bar planar mechanisms. One swim favors exploration while the second one promotes fine movements in the neighborhood of each bacterium. The combined effect of the new operators looks to increase the production of better solutions during the search. As a consequence, the ability of the algorithm to escape from local optimum solutions is enhanced. The algorithm is tested through four experiments and its results are compared against two BFOA-based algorithms and also against a differential evolution algorithm designed for mechanical design problems. The overall results indicate that the proposed algorithm outperforms other BFOA-based approaches and finds highly competitive mechanisms, with a single set of parameter values and with less evaluations in the first synthesis problem, with respect to those mechanisms obtained by the differential evolution algorithm, which needed a parameter fine-tuning process for each optimization problem.
Hernández-Ocaña, B., Pozos-Parra, M. D. P., Mezura-Montes, E., Portilla-Flores, E. A., Vega-Alvarado, E., & Calva-Yáñez, M. B. (2016). Two-swim operators in the modified bacterial foraging algorithm for the optimal synthesis of four-bar mechanisms. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2016/4525294