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\iteman{io-port 06105326}
\itemau{Niu, Ben; Wang, Jingwen; Wang, Hong; Tan, Lijing}
\itemti{Bacterial-inspired algorithms for engineering optimization.}
\itemso{Huang, De-Shuang (ed.) et al., Intelligent computing technology. 8th international conference, ICIC 2012, Huangshan, China, July 25--29, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-31587-9/pbk). Lecture Notes in Computer Science 7389, 649-656 (2012).}
\itemab
Summary: Bio-inspired optimization techniques using analogy of swarming principles and social behavior in nature have been adopted to solve a variety of problems. In this paper, Bacterial foraging optimization (BFO) was employed to achieve high-quality solutions to engineering optimization problems. Two modifications of BFO, BFO with linear decreasing chemotaxis step (BFO-LDC) and BFO with non-linear decreasing chemotaxis step (BFO-NDC) were proposed to further improve the performance of the original algorithm. In order to illustrate the efficiency of the proposed method (BFO-LDC and BFO-NDC) for engineering problem, an engineering design problem was selected as testing functions, and the performance is compared against some state-of-the-art approaches. The experimental results demonstrated that the modified BFOs are of greater efficiency and can be used as general approach for engineering problems.
\itemrv{~}
\itemcc{}
\itemut{Engineering problem; constrained handling; optimization; bacterial foraging; linear decreasing chemotaxis; non-linear decreasing chemotaxis}
\itemli{doi:10.1007/978-3-642-31588-6\_83}
\end