Model-building optimization

作者: David Callele , Shawn Rusaw , Trent Lorne McConaghy , Kristopher Breen

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摘要: A method and system for performing multi-objective optimization of a multi-parameter design having several variables performance metrics. The objectives include the values surrogate models metrics uncertainty in models. is always maximized while can be or minimized accordance with definitions respective Alternatively, one value user-defined cost function design, depending from and/or variables. In this case, other objective function, which maximized. designs electrical circuit such as analog, mixed-signal, custom digital circuits.

参考文章(4)
Julie A. Ireland, Thomas R. Matthis, Ricardo A. Benitez, Jihua Wang, Howard A. Winston, Robert M. Cohen, Sorin Costiner, Ellen Cohen, Alexander I. Khibnik, Ravi Rajamani, Process and system for multi-objective global optimization of maintenance schedules ,(2007)
K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II IEEE Transactions on Evolutionary Computation. ,vol. 6, pp. 182- 197 ,(2002) , 10.1109/4235.996017
David Callele, Shawn Rusaw, Trent Lorne McConaghy, Joel Cooper, Jeffrey Dyck, Kristopher Breen, Samer Sallam, Sean Cocks, Anthony Arkles, Jiangdon Ge, Pat Drennan, Global statistical optimization, characterization, and design ,(2009)