Global-best brain storm optimization algorithm based on chaotic difference step and opposition-based learning
Yanchi Zhao,
Jianhua Cheng,
Jing Cai
et al.
Abstract:Recently, the following global-best strategy and discussion mechanism have been prevailing to solve the slow convergence and the low optimization accuracy in the brain storm optimization (BSO) algorithm. However, the traditional BSO algorithm also suffers from the problem that it is easy to fall into local optimum. Therefore, this work innovatively designed the chaotic difference step strategy. This strategy introduced four commonly used chaotic maps and difference step to expand the population search space to… Show more
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