Surrogate-assisted, or meta-model based evolutionary computation uses efficient
computational models, often known as surrogates or meta-models, for approximating the …

Due to the scale and computational complexity of currently used simulation codes, global
surrogate (metamodels) models have become indispensable tools for exploring and …

The use of global surrogate models has become commonplace as a cost effective
alternative for performing complex high fidelity computer simulations. Due to their compact …

This paper investigates the construction of a metamodel for coastal flooding early warning at
the peninsula of Gâvres, France. The code under study is an hydrodynamic model which …

The digital transformation of our society changes the way we live, work, learn, communicate,
and collaborate. This disruptive change interacts with all information processes and systems …

A very large number of scientific and engineering fields are confronted with the need for
computer simulations to study complex, real world phenomena or solve challenging design …

SmartLife ecosystems are emerging as intelligent user-centered systems that will shape
future trends in technology and communication. Biological metaphors of living adaptable …

The application of evolutionary algorithms (EAs) to complex engineering optimization
problems may present difficulties as they require many evaluations of the objective functions …

In spite of their ability to deal with difficult optimization problems, genetic algorithms in
general require a large number of evaluations in order to find an optimal or a satisfactory …

The protein structure prediction problem is one of the most interesting challenges of
computational biology. One of its critical facets is the optimization method employed. This is …