Abstract
Brain Storm Optimization algorithm is inspired from the humans' brainstorming process. It simulates the problem-solving process of a group of people. In this paper, the original BSO algorithm is modified by amending the original BSO. First the step-size is adapted according to the dynamic range of individuals on each dimension. Second, the new individuals are generated in a batch-mode and then selected into the next generation. Experiments are conducted to demonstrate the performance of the modified BSO by testing on ten benchmark functions. The experimental results show that the modified BSO algorithm performs better than the original BSO. © 2012 Springer-Verlag.
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CITATION STYLE
Zhou, D., Shi, Y., & Cheng, S. (2012). Brain storm optimization algorithm with modified step-size and individual generation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7331 LNCS, pp. 243–252). https://doi.org/10.1007/978-3-642-30976-2_29
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