Aquatic animal telemetry: a panoramic window into the underwater world
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 …
actions; consequently, so too are the ways in which organisms are distributing themselves …
Balancing exploration and exploitation with information and randomization
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 …
learn more about them, with exploiting known options, for immediate reward. Such decisions …
[PDF][PDF] Glioblastoma hijacks neuronal mechanisms for brain invasion
V Venkataramani, Y Yang, MC Schubert, E Reyhan… - Cell, 2022 - cell.com
Glioblastomas are incurable tumors infiltrating the brain. A subpopulation of glioblastoma
cells forms a functional and therapy-resistant tumor cell network interconnected by tumor …
cells forms a functional and therapy-resistant tumor cell network interconnected by tumor …
African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems
B Abdollahzadeh, FS Gharehchopogh… - Computers & Industrial …, 2021 - Elsevier
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 …
algorithms are inspired by collective intelligence and foraging of creatures in nature. In this …
Marine Predators Algorithm: A nature-inspired metaheuristic
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 …
(MPA) and its application in engineering. The main inspiration of MPA is the widespread …
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
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 …
HHO is a recently developed swarm-based stochastic algorithm that has previously shown …
Harris hawks optimization: Algorithm and applications
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 …
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …
An efficient modified grey wolf optimizer with Lévy flight for optimization tasks
AA Heidari, P Pahlavani - Applied Soft Computing, 2017 - Elsevier
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 …
algorithm can reveal an efficient performance compared to other well-established …
Key questions in marine megafauna movement ecology
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 …
for future work. We assembled 40 experts to identify key questions in this field, focussing on …
Lévy walks
Random walk is a fundamental concept with applications ranging from quantum physics to
econometrics. Remarkably, one specific model of random walks appears to be ubiquitous …
econometrics. Remarkably, one specific model of random walks appears to be ubiquitous …