Network-based modeling of complex systems and data using the language of graphs has
become an essential topic across a range of different disciplines. Arguably, this graph-based …

Optimization in dynamic environments is a challenging but important task since many real-
world optimization problems are changing over time. Evolutionary computation and swarm …

Chaos: from simple models to complex systems aims to guide science and engineering
students through chaos and nonlinear dynamics from classical examples to the most recent …

In addition to the striking beauty inherent in their complex nature, fractals have become a
fundamental ingredient of nonlinear dynamics and chaos theory since they were defined in …

The biologist JBS Haldane, when asked what we can learn about the Creator by examining
the world, is said to have replied “an inordinate fondness for beetles”[705]. Today's …

Pseudo-random number generators (PRNGs) are one of the building blocks of cryptographic
methods and therefore, new and improved PRNGs are continuously developed. In this …

Disruptions due to either natural or anthropogenic hazards can significantly impact the
operation of critical infrastructure networks (eg, transportation systems) as they may instigate …

We introduce a class of multi-scale systems with discrete time, motivated by the problem of
inviscid limit in fluid dynamics in the presence of small-scale noise. These systems are …

Many real-world optimization problems are combinatorial optimization problems subject to
dynamic environments. In such dynamic combinatorial optimization problems (DCOPs), the …

We consider unstable attractors: Milnor attractors A such that, for some neighbourhood U of
A, almost all initial conditions leave U. Previous research strongly suggests that unstable …