In the past, the notion of fitness landscapes has found widespread adoption. Many different
methods have been developed that provide a general and abstract framework applicable to …

Real-world optimisation problems are often very complex. Metaheuristics have been
successful in solving many of these problems, but the difficulty in choosing the best …

Selecting the most appropriate algorithm to use when attempting to solve a black-box
continuous optimization problem is a challenging task. Such problems typically lack …

Over past few decades, as a powerful analytical tool to characterize the fitness landscape of
a problem, fitness landscape analysis (FLA) has been widely concerned and utilized for all …

Over the last years, the effects of neutrality have attracted the attention of many researchers
in the Evolutionary Algorithms (EAs) community. A mutation from one gene to another is …

We present an approach to genetic programming difficulty based on a statistical study of
program fitness landscapes. The fitness distance correlation is used as an indicator of …

Evolutionary algorithms, such as differential evolution, excel in solving real-parameter
optimization challenges. However, the effectiveness of a single algorithm varies across …

The success of a drug treatment is strongly correlated with the ability of a molecule to reach
its target in the patient's organism without inducing toxic effects. Moreover the reduction of …

We address the important step of determining an effective subset of heuristics in selection
hyper-heuristics. Little attention has been devoted to this in the literature, and the decision is …

Nowadays, the increasing levels of polluting emissions and fuel consumption of the road
traffic in modern cities directly affect air quality, the city economy, and especially the health of …