Abstract
In this paper, the improvement of pure random search is studied. By taking some information of the function to be minimized into consideration, the authors propose two stochastic global optimization algorithms. Some numerical experiments for the new stochastic global optimization algorithms are presented for a class of test problems.
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Supported by the Science Foundation of Shanghai Municipal Commission of Education
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Peng, Jp., Shi, Dh. Improvement of pure random search in global optimization. J. of Shanghai Univ. 4, 92–95 (2000). https://doi.org/10.1007/s11741-000-0002-4
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DOI: https://doi.org/10.1007/s11741-000-0002-4