Differential Evolution (DE) is arguably one of the most powerful and versatile evolutionary
optimizers for the continuous parameter spaces in recent times. Almost 5 years have passed …

Memetic computing is a subject in computer science which considers complex structures
such as the combination of simple agents and memes, whose evolutionary interactions lead …

This article proposes a novel metaheuristic algorithm called Volleyball Premier League
(VPL) inspired by the competition and interaction among volleyball teams during a season. It …

Nur wenige Methoden haben eine so langfristige Bedeutung für das Arbeitsleben eines
Ingenieurs wie die statistische Versuchsplanung. CAD-Programme ändern sich schnell, so …

Medical images acquired from different modalities give rise to many practical problems in
image registration. Intensity-based registration techniques have been increasingly used in …

Differential Evolution (DE) is a simple and efficient optimizer, especially for continuous
optimization. For these reasons DE has often been employed for solving various …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

Genetic algorithms (GAs) have become popular as a means of solving hard combinatorial
optimization problems. The first part of this chapter briefly traces their history, explains the …

The term 'Memetic Algorithms'[74](MAs) was introduced in the late 80s to denote a family of
metaheuristics that have as central theme the hybridization of different algorithmic …

The inductive learning of fuzzy rule-based classification systems suffers from exponential
growth of the fuzzy rule search space when the number of patterns and/or variables …