Search alternatives:
used optimization » based optimization (Expand Search), led optimization (Expand Search), guided optimization (Expand Search)
final model » animal model (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
swarm » warm (Expand Search)
used optimization » based optimization (Expand Search), led optimization (Expand Search), guided optimization (Expand Search)
final model » animal model (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
swarm » warm (Expand Search)
-
1
Particle swarm optimization algorithm flowchart.
Published 2025“…And finally, an improved PSO-IFA hybrid optimization algorithm (PSO-IFAH) was proposed in the paper. …”
-
2
-
3
-
4
-
5
-
6
Firefly optimization algorithm flowchart.
Published 2025“…And finally, an improved PSO-IFA hybrid optimization algorithm (PSO-IFAH) was proposed in the paper. …”
-
7
-
8
-
9
-
10
-
11
Model frame drawing.
Published 2024“…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”
-
12
-
13
Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
-
14
-
15
Weighted covariance matrix based GEDM model.
Published 2024“…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”
-
16
The parameter settings of the IPSO algorithm.
Published 2023“…Therefore, this paper constructs a hybrid forecasting model to solve this problem. First, this model introduces an improved inertia weight and an adaptive variation operation to enhance the Particle Swarm Optimization (PSO) algorithm. …”
-
17
The optimization results with single objective.
Published 2023“…Finally, the chaotic particle ant colony algorithm is proposed, and the problem of premature convergence in the operation of the particle swarm algorithm is solved. …”
-
18
-
19
Algorithm parameter setting.
Published 2023“…Finally, the chaotic particle ant colony algorithm is proposed, and the problem of premature convergence in the operation of the particle swarm algorithm is solved. …”
-
20
Algorithm parameter setting.
Published 2023“…Finally, the chaotic particle ant colony algorithm is proposed, and the problem of premature convergence in the operation of the particle swarm algorithm is solved. …”