In the algorithm, after initializing the particle swarm, each particle can update the speed and location according to its information, and then produce a new particle with better value. Repeating that process continually to implement the global search of the space, we can get the better trust path in the networks.
To avoid the shortage of the existing trust model, this paper provides a Trust Path-Searching Algorithm based on PSO. In this algorithm, after initializing the ...
To avoid the shortage of the existing trust model, this paper provides a Trust Path-Searching Algorithm based on PSO. In this algorithm, after initializing ...
To avoid the shortage of the existing trust model, this paper provides a Trust Path-Searching Algorithm based on PSO. In this algorithm, after initializing the ...
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This paper has tried to describe an optimal trust path selection algorithm using Particle swarm intelligence technique; so that one end user can conclude ...
In this paper, a new strategy is developed to plan the smooth path for mobile robots through an improved PSO algorithm in combination with the continuous high- ...
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Jan 25, 2023 · A federated evolutionary feature selection algorithm based on particle swarm optimization is proposed to effectively solve feature selection problems with ...
In this paper we have tried to describe an optimal trust path selection algorithm using Particle swarm intelligence technique; so that one end user can conclude ...
Evolutionary algorithms exhibit flexibility and global search advantages in multi-UAV path planning, effectively addressing complex constraints.
May 25, 2020 · This paper proposes an improved PSO integration scheme based on improved details, which integrates uniform distribution, exponential attenuation inertia weight.