Conventional and hydrothermal gasification are promising thermochemical technologies for
the production of syngas from waste biomass. Both gasification processes are complex, with …

Hydrothermal liquefaction (HTL) of biomass with high moisture (eg, algae, sludge, manure,
and food waste) is a promising and sustainable approach to produce renewable energy (bio …

Black-box complexity theory recently produced several surprisingly fast black-box
optimization algorithms. In this work, we exhibit one possible reason: These black-box …

Thermochemical conversions of nonedible biomass into energy are promising alternatives
for ensuring a sustainable energy society. However, determining the optimum design and …

In classical runtime analysis it has been observed that certain working principles of an
evolutionary algorithm cannot be understood by only looking at the asymptotic order of the …

IOHprofiler is a new tool for analyzing and comparing iterative optimization heuristics. Given
as input algorithms and problems written in C or Python, it provides as output a statistical …

Apart from few exceptions, the mathematical runtime analysis of evolutionary algorithms is
mostly concerned with expected runtimes, occasionally augmented by tail bounds. In this …

A predominant topic in the theory of evolutionary algorithms and, more generally, theory of
randomized black-box optimization techniques is running-time analysis. Running-time …

Decomposition-based multiobjective evolutionary algorithms (MOEAs) have been studied a
lot and have been widely and successfully used in practice. However, there are no related …

Choosing a suitable algorithm from the myriads of different search heuristics is difficult when
faced with a novel optimization problem. In this work, we argue that the purely academic …