Abstract
Multi-objective optimization techniques can be categorized globally into deterministic and evolutionary methods. Examples of such methods are the Normal Boundary Intersection (NBI) method and the Strength Pareto Evolutionary Algorithm (SPEA2), respectively. With both methods one explores trade-offs between conflicting performances. Surrogate models can replace expensive circuit simulations so enabling faster computation of circuit performances. As surrogate models of behavioral parameters and performance outcomes, we consider look-up tables with interpolation and Neural Network models.
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De Tommasi, L., Beelen, T.G.J., Sevat, M.F., Rommes, J., ter Maten, E.J.W. (2012). Multi-Objective Optimization of RF Circuit Blocks via Surrogate Models and NBI and SPEA2 Methods. In: Günther, M., Bartel, A., Brunk, M., Schöps, S., Striebel, M. (eds) Progress in Industrial Mathematics at ECMI 2010. Mathematics in Industry(), vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25100-9_23
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DOI: https://doi.org/10.1007/978-3-642-25100-9_23
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