… In general, we would demand \(m>1\) when we talk about multiobjective optimization …
Let m be a natural number bigger or equal to 1. The non-negative orthant (aka hyperoctant) …

The factors determining a drug's success are manifold, making de novo drug design an
inherently multi-objective optimisation (MOO) problem. With the advent of machine learning and …

… Among solution vectors y , y ′ ∈ R m a partial order is defined by the dominance relation
“… M. Emmerich acknowledges financial support of NWO within the HEFBOOM Project. …

The hypervolume measure is one of the most frequently applied measures for comparing the
results of evolutionary multiobjective optimization algorithms (EMOA). The idea to use this …

This paper presents and analyzes in detail an efficient search method based on evolutionary
algorithms (EA) assisted by local Gaussian random field metamodels (GRFM). It is created …

This paper presents various Metamodel–Assisted Evolution Strategies which reduce the
computational cost of optimisation problems involving time—consuming function evaluations. …

In this study the positron emission tomographic (PET)-18F-2-deoxy-2-fluoro-D-glucose (FDG)
technique was used to study both normal aging and senile dementia. The results derived …

… For the conductivity of the medium the value σ m = 1.2 S m −1 was inserted. In the low
frequency range, the Re(K CM ) curves start at a value of -0.5 and all cell types are repelled from …

… Foremost we consider the cases m = 1 and m = 2. … M. Emmerich acknowledges financial
support by the DELIVER Project cofinanced by STW/NWO. The authors acknowledge Tobias …

Despite treatment advances, melanoma remains a deadly disease at stage IV. Through research
autopsy and dense sampling of metastases combined with extensive multiomic profiling…