Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …
order to efficiently address complex optimization problems. In the last years the number of …
Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimization
Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …
inspiration from the intricate movement and flow patterns of water masses during flooding …
Polar fox optimization algorithm: a novel meta-heuristic algorithm
The proposed paper introduces a new optimization algorithm inspired by nature called the
polar fox optimization algorithm (PFA). This algorithm addresses the herd life of polar foxes …
polar fox optimization algorithm (PFA). This algorithm addresses the herd life of polar foxes …
Chaotic opposition learning with mirror reflection and worst individual disturbance grey wolf optimizer for continuous global numerical optimization
The effective meta-heuristic technique known as the grey wolf optimizer (GWO) has shown
its proficiency. However, due to its reliance on the alpha wolf for guiding the position …
its proficiency. However, due to its reliance on the alpha wolf for guiding the position …
Optimal extreme learning machine for diagnosing brain tumor based on modified sailfish optimizer
This study proposes a hierarchical automated methodology for detecting brain tumors in
Magnetic Resonance Imaging (MRI), focusing on preprocessing images to improve quality …
Magnetic Resonance Imaging (MRI), focusing on preprocessing images to improve quality …
ICSOMPA: A novel improved hybrid algorithm for global optimisation
Abstract The Marine Predators Algorithm (MPA) is among the recently proposed
metaheuristic algorithms (MAs), and it got its inspiration from the ocean predators' foraging …
metaheuristic algorithms (MAs), and it got its inspiration from the ocean predators' foraging …
[HTML][HTML] Machine Learning Model for Predicting the Height of the Water-Conducting Fracture Zone Considering the Influence of Key Stratum and Dip Mining Intensity
Y Che, X Cui, Y Wang, P Li - Water, 2025 - mdpi.com
Predicting the height of the water-conducting fracture zone (WCFZ) is crucial for preventing
water inrush and ensuring safe underground mining operations. In this study, we propose a …
water inrush and ensuring safe underground mining operations. In this study, we propose a …
Enhancement in Optimal Resource-based Data Transmission over LPWAN using a Deep Adaptive Reinforcement Learning Model aided by Novel Remora with Lotus …
MR Rao, S Sundar - IEEE Access, 2024 - ieeexplore.ieee.org
Wireless Sensor Networks (WSN) are adopting low-power wide area networks (LPWAN),
such as long-range (LoRa) wide area networks, to increase communication standards. LoRa …
such as long-range (LoRa) wide area networks, to increase communication standards. LoRa …
Optimization of process parameters for printed circuit board drilling for Micro needle with Socio inspired optimization algorithms
Abstract Printed Circuit Board (PCB) is the primary component for building any electrical
circuit. Electrical interconnection of PCBs is achieved through micro-holes. These holes are …
circuit. Electrical interconnection of PCBs is achieved through micro-holes. These holes are …
[PDF][PDF] Optimization of Welded Beam Design Problem Using Water Evaporation Optimization Algorithm
AAH Alkurdi - Academic Journal of Nawroz University, 2023 - pdfs.semanticscholar.org
This paper introduces a novel approach to tackle the Welded Beam Design Problem through
the application of the Water Evaporation Optimization Algorithm (WEOA), a nature-inspired …
the application of the Water Evaporation Optimization Algorithm (WEOA), a nature-inspired …