-
...visualization, prototyping and optimization. typically the model parameter (=hyperparameter) optimization problem as part of global surrogate modeling is formulated in a single objective way. models are generated according to a...in particular, we present a multiobjective framework for global surrogate model generation to help tackle both problems and that is applicable in both the static and sequential design (adaptive...
-
...called moea/d-ego, for dealing with expensive multiobjective optimization. moea/d-ego decomposes...has been made to reduce the overhead for modeling and to improve the prediction quality. at each generation...
-
...different fami- lies, and compares the accuracy and the interpretability of their models. the paper also analyzes the behavior of the gbml approaches with respect to some of the...be employed depending on whether the user prefers to maxi- mize the accuracy or the interpretability of the models....
-
...operator of memetic algorithms. since
the points in the data are evaluated with different accuracies, the approximation methodology should give greater...chain theory, and also study the computational complexity of the approximation-based local search operator. the
chapter concludeswith the illustration of the methodology in the design of electromagnetic devices, as...
-
...by exploiting knowledge acquired during the search.
in this chapter, we analyze different proposals currently available in the specialized literature to deal with expensive functions
in evolutionary multi...to a substantial reduction in the computational cost of the moea
adopted. finally, we also indicate some of the potential paths for future research...
-
...tts) are based on retrieving the best set of speech units from a large labelled speech database. to that effect, the unit selection is guided by...presents a step further in the application of aigas to this problem by defining new indicators of the perceptually-based evolutionary process to...
-
...present a general overview of the more commonly used approaches for molecular profiling at the genomic, transcriptomic and proteomic levels. we also highlight the emerging role of molecular profiling...providing a better understanding of the pathogenesis of rcc that will pave the way towards new targeted therapy discovery. furthermore, we discuss the spectrum of clinical applications of...