Brain storm optimization algorithm with modified step-size and individual generation

Authors:
Dadian Zhou;Yuhui Shi;Shi Cheng
Affiliations:
-;-;Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK
Venue:
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Year:
2012

Citing 5
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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.