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.
The authors’ work is partially supported by National Natural Science Foundation of China under grant No.60975080, and Suzhou Science and Technology Project under Grant No.SYJG0919.
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Zhou, D., Shi, Y., Cheng, S. (2012). Brain Storm Optimization Algorithm with Modified Step-Size and Individual Generation. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30976-2_29
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DOI: https://doi.org/10.1007/978-3-642-30976-2_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30975-5
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