-
21
-
22
A Survey of cuckoo search algorithm: optimizer and new applications
Published 2024“…Cuckoo search (CS) is an efficient swarm intelligence-based algorithm that has come a long way since its start in 2009. …”
Get full text
-
23
Recent Advances in Butterfly Optimization Algorithm, Its Versions and Applications
Published 2023“…The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based optimization algorithm. …”
Get full text
Get full text
-
24
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
Published 2021“…Particle swarm optimization (PSO), firefly algorithm, ant colony optimization (ACO), and bat algorithm (BA) have gained much popularity and they have successfully tackled various test suites of benchmark functions and real-world problems. …”
-
25
Particle swarm optimization for multimachine power systemstabilizer design
Published 2001“…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …”
Get full text
Get full text
article -
26
-
27
Bee colony algorithm for assigning proctors to exams. (c2013)
Published 2013Get full text
Get full text
masterThesis -
28
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
Published 2022“…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …”
-
29
Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests
Published 2023“…<p>Non-parametric tests can determine the better of two stochastic optimization algorithms when benchmarking results are ordinal—like the final fitness values of multiple trials—but for many benchmarks, a trial can also terminate once it reaches a prespecified target value. …”
-
30
An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization
Published 2022“…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …”
-
31
Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems
Published 2023“…Therefore, an enhanced particle swarm optimization (PSO), data reduction, and interval-valued representation are proposed. …”
-
32
On the Optimization of Band Gaps in Periodic Waveguides
Published 2025“…Five nature-inspired optimization algorithms: Genetic Algorithm (GA), Differential Evolution (DE), Grey Wolf Optimizer (GWO), Improved Grey Wolf Optimizer (IGWO), and Particle Swarm Optimization (PSO) are compared. …”
-
33
A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem
Published 2020“…This paper conducts a comprehensive literature review on applications of evolutionary and swarm intelligence algorithms to TSC. Surveyed work is categorized based on the set of decision variables, optimization objective(s), problem modeling and solution encoding. …”
Get full text
Get full text
-
34
Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms
Published 2022“…In the first method, the CVaR measurement was modeled by means of DEA, then Particle Swarm Optimization (PSO) and the Imperial Competitive Algorithm (ICA) were used to solve the proposed model. …”
-
35
Maximum power point tracking of a standalone photovoltaic system using electromagnetic field optimization algorithm
Published 2023“…In this paper, a novel maximum power point tracking method based on a physics-inspired metaheuristic algorithm called Electromagnetic Field Optimization algorithm is proposed. …”
Get full text
Get full text
-
36
Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach
Published 2024“…Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. …”
-
37
An Enhanced Binary Rat Swarm Optimizer based on Local-best Concepts of PSO and Collaborative Crossover Operators for Feature Selection
Published 2022“…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
Get full text
Get full text
-
38
Particle swarm optimization approach for protein structure prediction in the 3D HP model
Published 2012“…In this paper, we present a particle swarm optimization (PSO) based algorithm for predicting protein structures in the 3D hydrophobic polar model. …”
Get full text
Get full text
Get full text
article -
39
Stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm
Published 2023“…The proposed IARO-based scheduling framework’s performance is evaluated against that of traditional ARO, particle swarm optimization (PSO), and salp swarm algorithm (SSA). …”
-
40
Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks
Published 2021“…Our simulation results show that the distributed DDPG-based algorithm learns to adapt against changes in the channel or user requirements, while centralized Genetic Algorithm and Particle Swarm Optimization-based algorithms fail to endure against these changes even with coordination between APs. …”