Advancements in optimizing wave energy converter geometry utilizing metaheuristic algorithms
One area with significant potential for cost reduction is the shape and geometry design of
wave energy converters (WECs) to facilitate the development of these devices. Recent …
wave energy converters (WECs) to facilitate the development of these devices. Recent …
[HTML][HTML] Evolution-based energy-efficient data collection system for UAV-supported IoT: Differential evolution with population size optimization mechanism
In recent years, unmanned aerial vehicles (UAVs) have been broadly employed as a data
collection platform to assist in efficiently collecting data from IoT devices. However, the …
collection platform to assist in efficiently collecting data from IoT devices. However, the …
State-of-the-Art Review: Models and Algorithms for Optimal Power System Design, Stabilization, and Reliability Enhancement
The stability and reliability of power systems are essential for effective operation and design.
Models and algorithms are instrumental in bolstering stability, especially using Power …
Models and algorithms are instrumental in bolstering stability, especially using Power …
A multi-scale analysis method with multi-feature selection for house prices forecasting
With the high complexity and heterogeneity of house prices, and massive factors influencing
house price fluctuations bring critical challenges for house prices forecasting. To capture the …
house price fluctuations bring critical challenges for house prices forecasting. To capture the …
LQR controller performance via particle swarm optimization and neural networks
The inverted pendulum‐cart (IPC) control problem has long been a benchmark in the field of
control systems due to its inherent instability and nonlinear dynamics. The linear quadratic …
control systems due to its inherent instability and nonlinear dynamics. The linear quadratic …
A mathematical multi-objective optimization model and metaheuristic algorithm for effective advertising in the social internet of things
The integration of social networks with the Internet of Things (IoT) has been explored in
recent research, giving rise to the Social Internet of Things (SIoT). One promising application …
recent research, giving rise to the Social Internet of Things (SIoT). One promising application …
A Cluster Chaotic Optimization for solving power loss and voltage profiles problems on electrical distribution networks
The growing demand for electricity poses significant challenges in maintaining a reliable
and efficient power supply. Optimal Capacitor Placement (OCP) in electrical engineering …
and efficient power supply. Optimal Capacitor Placement (OCP) in electrical engineering …
A data‐driven Bayesian approach for optimal dynamic product transitions
In the processing industry, dynamic product transitions are essential for achieving high
product quality, minimizing the use of raw materials and energy and reducing production …
product quality, minimizing the use of raw materials and energy and reducing production …
Improved exponential distribution optimizer: enhancing global numerical optimization problem solving and optimizing machine learning paramseters
OR Adegboye, AK Feda - Cluster Computing, 2025 - Springer
Abstract The Exponential Distribution Optimizer (EDO) is a population-based optimizer
inspired by exponential distribution theory. It's widely used in real-world scenarios due to its …
inspired by exponential distribution theory. It's widely used in real-world scenarios due to its …
[HTML][HTML] Towards sustainable water pum** systems: Integration of particle swarm optimization and direct torque control PSO-DTC
H Abdelilah, M Makhad, N El Ouanjli… - e-Prime-Advances in …, 2024 - Elsevier
This research paper focuses on the optimization of solar water pum** systems (SWPS) by
combining the particle swarm optimization (PSO) technique on the generator photovoltaic …
combining the particle swarm optimization (PSO) technique on the generator photovoltaic …