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Benchmarking Stochastic Algorithms for Global Optimization Problems by Visualizing Confidence Intervals.
Qunfeng Liu
Wei-Neng Chen
Jeremiah D. Deng
Tianlong Gu
Huaxiang Zhang
Zhengtao Yu
Jun Zhang
Published in:
IEEE Trans. Cybern. (2017)
Keyphrases
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global optimization problems
confidence intervals
stochastic systems
learning algorithm
sample size
monte carlo
differential evolution
neural network
computational complexity
optimization problems
benchmark problems
stopping rules