More than a decade after the first extensive overview on parameter control, we revisit the
field and present a survey of the state-of-the-art. We briefly summarize the development of …

Existing water quality index (WQI) models assess water quality using a range of
classification schemes. Consequently, different methods provide a number of interpretations …

With the waning of Moore's law, optimizing program performance has become a major focus
of software research. However, high-level optimizations such as API and algorithm changes …

The challenges encountered in the development of a predictive energy management
strategy (EMS) for hybrid electric vehicles (HEVs) include improving the vehicle speed …

Designing high-performance solvers for computationally hard problems is a difficult and
often time-consuming task. Although such design problems are traditionally solved by the …

The design and development of metaheuristic algorithms can be time-consuming and
difficult for a number of reasons including the complexity of the problems being tackled, the …

Hyper-heuristic approaches aim to automate heuristic design in order to solve multiple
problems instead of designing tailor-made methodologies for individual problems. Hyper …

Designing generic problem solvers that perform well across a diverse set of problems is a
challenging task. In this work, we propose a hyper-heuristic framework to automatically …

This paper proposes a computational prototype for automatic design of optimization
algorithms. The proposed scheme makes an analysis of the problem that estimates the …

Abstract Hyper-heuristics are (meta-) heuristics that operate at a higher level to choose or
generate a set of low-level (meta-) heuristics in an attempt of solve difficult optimization …