Risk-informed Simulation Optimization for engineering asset management
نویسندگان
چکیده
This paper present a general method coupling genetic algorithms and Monte-Carlo simulation to address simulation optimization issues in the field of engineering asset management. After a description of the method, parameters tuning issues are analyzed through a test-case.
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