Optimization for structural crashworthiness and energy absorption has become an important
topic of research attributable to its proven benefits to public safety and social economy. This …

Due to its high efficiency, surrogate models have been extensively used in black-box-type
engineering optimization problems. However, due to the nature of black-box functions, it is …

This paper presents an automated surrogate model selection framework called the
Concurrent Surrogate Model Selection or COSMOS. Unlike most existing techniques …

In engineering design optimization, evaluation of a single solution (design) often requires
running one or more computationally expensive simulations. Surrogate assisted …

Abstract Surrogate-Assisted Evolutionary Optimisation algorithms are a specialized brand of
optimisers developed to undertake problems with computationally expensive fitness …

Optimization of complex engineering systems is performed using computationally expensive
high fidelity computer simulations (eg, finite element analysis). During optimization these …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

Engineering design often involves problems with multiple conflicting performance criteria,
commonly referred to as multi-objective optimization problems (MOP). MOPs are known to …

In multiobjective engineering design, evaluation of a single design (solution) often requires
running one or more computationally expensive simulation models. Surrogate assisted …

Ensemble of surrogates has shown to be effective in the modeling of a variety of engineering
problems, from aerospace to automotive and oil and gas industries, among many others …