Agent-based models provide a flexible framework that is frequently used for modelling many
biological systems, including cell migration, molecular dynamics, ecology and epidemiology …

Over the past decade, technological advances in experimental and animal tracking
techniques have motivated a renewed theoretical interest in animal collective motion and, in …

SI can be seen also as part of the broader field of computational intelligence (CI)(Keller et al.
2016), which comprises computational methods for problems not solvable by the first …

Biologically-informed neural networks (BINNs), an extension of physics-informed neural
networks, are introduced and used to discover the underlying dynamics of biological …

Critical transition can occur in many real-world systems. The ability to forecast the
occurrence of transition is of major interest in a range of contexts. Various early warning …

In recent years swarm intelligence emulate the behavior of insects or animal. In this chapter,
an optimization algorithm called Locust Search (LS) is presented. The LS is inspired of the …

The employment of nonlocal PDE models to describe biological aggregation and other
phenomena has gained considerable traction in recent years. For cell populations, these …

Parents influence the development of their offspring in many ways beyond the transmission
of DNA. This includes transfer of epigenetic states, nutrients, antibodies and hormones, and …

Climate is a major limiting factor for insect distributions and it is expected that a changing
climate will likely alter spatial patterns of pest outbreaks. The Australian plague locust (APL) …

Desert locust (Schistocerca gregaria) plagues threaten agricultural production, food security
and the environment across Africa, the Middle East, and Southwest Asia. Control methods …