Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …
tools and data fusion strategies has recently opened new perspectives for environmental …
Smart anomaly detection in sensor systems: A multi-perspective review
Anomaly detection is concerned with identifying data patterns that deviate remarkably from
the expected behavior. This is an important research problem, due to its broad set of …
the expected behavior. This is an important research problem, due to its broad set of …
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers.
Most of these cliché methods mimic animals' searching trends and possess a small …
Most of these cliché methods mimic animals' searching trends and possess a small …
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Y Yang, H Chen, AA Heidari, AH Gandomi - Expert Systems with …, 2021 - Elsevier
A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …
Despite their popularity, most of them have uncertain, immature performance, partially done …
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
Although the continuous version of ant colony optimizer (ACOR) has been successfully
applied to various problems, there is room to boost its stability and improve convergence …
applied to various problems, there is room to boost its stability and improve convergence …
Energy-efficient smart routing based on link correlation mining for wireless edge computing in IoT
Modern Internet-of-Things (IoT) applications are heavily data driven and often require
reliable data streams to achieve high-quality data mining. The concept of edge computing is …
reliable data streams to achieve high-quality data mining. The concept of edge computing is …
MOSMA: Multi-objective slime mould algorithm based on elitist non-dominated sorting
This paper proposes a multi-objective Slime Mould Algorithm (MOSMA), a multi-objective
variant of the recently-developed Slime Mould Algorithm (SMA) for handling the multi …
variant of the recently-developed Slime Mould Algorithm (SMA) for handling the multi …
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns
Harris hawks optimization (HHO) is a newly developed swarm-based algorithm and the most
popular optimizer in the recent year, which mimics the cooperation behavior of Harris hawks …
popular optimizer in the recent year, which mimics the cooperation behavior of Harris hawks …
Topology optimization against cascading failures on wireless sensor networks using a memetic algorithm
Existing research on cascading failures of wireless sensor networks (WSNs) fails to take into
account the role of the sink node on network load distribution, and rarely involves how to …
account the role of the sink node on network load distribution, and rarely involves how to …