BACKGROUND Global aquatic environments are changing profoundly as a result of human
actions; consequently, so too are the ways in which organisms are distributing themselves …

Explore-exploit decisions require us to trade off the benefits of exploring unknown options to
learn more about them, with exploiting known options, for immediate reward. Such decisions …

Glioblastomas are incurable tumors infiltrating the brain. A subpopulation of glioblastoma
cells forms a functional and therapy-resistant tumor cell network interconnected by tumor …

Metaheuristics play a crucial role in solving optimization problems. The majority of such
algorithms are inspired by collective intelligence and foraging of creatures in nature. In this …

This paper presents a nature-inspired metaheuristic called Marine Predators Algorithm
(MPA) and its application in engineering. The main inspiration of MPA is the widespread …

Metaheuristic algorithms are becoming powerful methods for solving continuous global
optimization and engineering problems due to their flexible implementation on the given …

The first powerful variant of the Harris hawks optimization (HHO) is proposed in this work.
HHO is a recently developed swarm-based stochastic algorithm that has previously shown …

In this paper, a novel population-based, nature-inspired optimization paradigm is proposed,
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …

The grey wolf optimizer (GWO) is a new efficient population-based optimizer. The GWO
algorithm can reveal an efficient performance compared to other well-established …

It is a golden age for animal movement studies and so an opportune time to assess priorities
for future work. We assembled 40 experts to identify key questions in this field, focussing on …