Animal telemetry is a powerful tool for observing marine animals and the physical
environments that they inhabit, from coastal and continental shelf ecosystems to polar seas …

The complexity of engineering optimization problems is increasing. Classical gradient-
based optimization algorithms are a mathematical means of solving complex problems …

This study develops a novel metaheuristic algorithm that is motivated by the behavior of
jellyfish in the ocean and is called artificial Jellyfish Search (JS) optimizer. The simulation of …

This study develops a Multi-Objective Jellyfish Search (MOJS) algorithm to solve
engineering problems optimally with multiple objectives. Lévy flight, elite population, fixed …

Over recent years, a major breakthrough in marine animal tracking has occurred with the
advent of Fastloc‐GPS that provides highly accurate location data even for animals that only …

Population connectivity refers to the exchange of individuals among populations: it affects
gene flow, regulates population size and function, and mitigates recovery from natural or …

Although oceanic dispersal in larval and juvenile marine animals is widely studied, the
relative contributions of swimming behavior and ocean currents to movements and …

State-space models (SSMs) are increasingly used in ecology to model time-series such as
animal movement paths and population dynamics. This type of hierarchical model is often …

Nature-inspired meta-heuristic algorithms possess various actions inspired by natural
phenomena, animal behaviors, chemistry or physics laws etc. The actions are utilized to …

This study aims to develop a novel forecasting system that optimizes linear time‐series with
nonlinear machine learning models to identify the historical pattern of regional energy …