In the past decade, ecologists have witnessed vast improvements in our ability to collect
animal movement data through animal-borne technology, such as through GPS or ARGOS …

This review examines intermittent target search strategies, which combine phases of slow
motion, allowing the searcher to detect the target, and phases of fast motion during which …

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 …

This work presents a novel Moth Swarm Algorithm (MSA), inspired by the orientation of
moths towards moonlight to solve constrained Optimal Power Flow (OPF) problem. The …

Modern microscopic techniques following the stochastic motion of labelled tracer particles
have uncovered significant deviations from the laws of Brownian motion in a variety of …

An optimal search theory, the so-called Lévy-flight foraging hypothesis, predicts that
predators should adopt search strategies known as Lévy flights where prey is sparse and …

Many free-ranging predators have to make foraging decisions with little, if any, knowledge of
present resource distribution and availability. The optimal search strategy they should use to …

Recent advances in spatial ecology have improved our understanding of the role of large‐
scale animal movements. However, an unsolved problem concerns the inherent …

We review the general problem of random searches in the context of biological encounters.
We analyze deterministic and stochastic aspects of searching in general and address the …

Lévy walks (LW) are superdiffusive and scale‐free random walks that have recently
emerged as a new conceptual tool for modeling animal search paths. They have been …