Random search techniques for optimization of nonlinear systems with many parameters

George A. Bekey and Sami F. Masri

Mathematics and Computers in Simulation (MATCOM), 1983, vol. 25, issue 3, 210-213

Abstract: This paper concerns the application of adaptive random search techniques to large parameter optimization and identification problems. A brief review of the algorithm is presented, followed by a discussion of 3 examples: (1) identification of 25 unknown parameters in a nonlinear 5-degree of freedom mechanical system (2) identification of 17 parameters in a nonlinear model of soil mechanics and (3) determination of optimum values of 24 parameters to obtain a match of two response spectra. The results indicate the robustness and applicability of adaptive random search to a wide variety of nonlinear optimization problems.

Date: 1983
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:25:y:1983:i:3:p:210-213

DOI: 10.1016/0378-4754(83)90094-0

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