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1621
Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art
Published 2016-01-01“…In this paper, our primary focus is on Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), and Differential Evolution (DE), though we also briefly review other recently introduced nature-inspired algorithms. …”
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1622
Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm
Published 2025-01-01“…To address this, we propose an auto-evolution hyper-heuristic algorithm named AE-GAPB. AE-GAPB integrates a genetic algorithm (GA) at the high-level component and employs particle swarm optimization (PSO) and the bat algorithm (BA) at the low-level component. …”
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1623
Improved DV-Hop Node Localization Algorithm in Wireless Sensor Networks
Published 2012-08-01“…Finally, we use the particle swarm optimization to correct the position estimated by the 2D hyperbolic localization algorithm, which makes the result closer to the actual position. …”
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1624
Improvement and Optimization of Thin Dipole for UWB Applications
Published 2024-02-01“…Additionally, two optimization techniques, Genetic Algorithm and Particle Swarm Optimization are applied to obtain the best dipole radius. …”
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1625
Sensitivity Analysis of a CPAM Inverse Algorithm for Composite Laminates Characterization
Published 2017-01-01“…An inverse method based on particle swarm optimization algorithm is further provided using MATLAB software. …”
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1626
PSO–SOM Neural Network Algorithm for Series Arc Fault Detection
Published 2020-01-01“…However, the classification accuracy of SOM neural network may decrease when the features of tested object are not obvious. In this paper, the particle swarm optimization (PSO) algorithm is used to optimize the weight values of SOM network. …”
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1627
A RSSI-Based Distributed Weighted Search Localization Algorithm for WSNs
Published 2015-04-01“…Compared with three state-of-art localization algorithms—namely, maximum likelihood estimation (MLE), edge-based second-order cone programming + nonconvex sequential greedy (ESOCP + NCSG), and particle swarm optimization (PSO)—the simulation results show that localization performance of the WSLA is superior to that of MLE, ESOCP + NCSG, and PSO.…”
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1628
Precise wind allocation scheme decision based on attraction-repulsion algorithm
Published 2025-04-01“…Performance test results showed that AROA had a significant advantage in comprehensive optimization performance compared to Genetic Algorithm (GA), Simulated Annealing-Improved Particle Swarm Optimization (SA-IPSO), and Monotonic Basin Hopping (MBH). …”
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1629
Improved Grey Wolf Algorithm: A Method for UAV Path Planning
Published 2024-11-01“…Compared to Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), GWO, and MP–GWO algorithms, the NI–GWO algorithm can achieve the optimal fitness value and has significant advantages in terms of average path length, time, number of collisions, and obstacle avoidance capabilities.…”
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1630
Energy-Aware Sink Node Localization Algorithm for Wireless Sensor Networks
Published 2015-07-01“…This paper proposes a novel algorithm based on a Particle Swarm Optimization (PSO) approach for designing an energy-aware topology control protocol. …”
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1631
Task Allocation and Saturation Attack Approach for Unmanned Underwater Vehicles
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1632
Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment
Published 2022-06-01“…Load balancing has to be carried out in such a manner that all virtual machines (VM) should have balanced load to achieve optimal utilization of its capabilities. This paper proposes a novel methodology of dynamic balancing of load among the virtual machines using hybridization of modified Particle swarm optimization (MPSO) and improved Q-learning algorithm named as QMPSO. …”
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1633
GENETIC ALGORITHM-PID CONTROLLER FOR MODEL ORDER REDUCTION PANTOGRAPHCATENARY SYSTEM
Published 2021-06-01“…Then, in this paper, we current an active manipulate of the minimize order model of pantograph-catenary system .The proposed manipulate approach implements an optimization technique, like particle swarm (PSO), the usage of a frequent approximation of the catenary equal stiffness. …”
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1634
Key Transmission Section Search Strategy Based on Improved Clustering Algorithm
Published 2022-06-01“…In order to effectively avoid the occurrence of cascading failure due to the loss of faulted or overloaded lines, a key transmission section search method based on an improved fuzzy C-means clustering algorithm is proposed. Firstly, an improved particle swarm optimization algorithm is employed to update the clustering center, so that the problem that the clustering algorithm is sensitive to the initial clustering center can be solved. …”
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1635
Scanning Micromirror Calibration Method Based on PSO-LSSVM Algorithm Prediction
Published 2024-11-01“…This paper presents a novel scanning micromirror calibration method based on the prediction of a particle swarm optimization-least squares support vector machine (PSO-LSSVM). …”
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1636
State of Health Estimation of Li-ion Batteries Based on GWO-LSSVM
Published 2022-10-01“…The estimated results were compared with those obtained by the LSSVM algorithm based on the grid search method and the LSSVM algorithm based on the particle swarm optimization algorithm. …”
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1637
A Hybrid Artificial Bee Colony Algorithm for the Service Selection Problem
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1638
Application of the Artificial Bee Colony Algorithm for Solving the Set Covering Problem
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1639
Optimization of Fuzzy Control for Magnetorheological Damping Structures
Published 2017-01-01“…This paper proposes new fuzzy control rules based on a genetic algorithm (GA) and particle swarm optimization (PSO) and performs a numerical simulation for a three-layer reinforced concrete frame structure under conditions of an uncontrolled structure, fuzzy control, fuzzy control optimized by GA, fuzzy control optimized by PSO, and GA-optimized FLC control (GA-FLC) proposed by Ali and Ramaswamy (2008). …”
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1640
Legendre Cooperative PSO Strategies for Trajectory Optimization
Published 2018-01-01“…Particle swarm optimization (PSO) is a population-based stochastic optimization technique in a smooth search space. …”
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