Research paper. Comparison of particle swarm optimization and simulated annealing for locating additional boreholes considering combined variance minimization.
NASA/ADS · Comparison of particle swarm optimization and simulated annealing for locating additional boreholes considering combined variance minimization.
A comparative study between PSO and simulated annealing is performed by Soltani-Mohammadi et al. (2016) for locating boreholes using variance minimization.
As a result, the only factors evaluated for locating the additional boreholes are initial data configuration and variogram model parameters and the effects of�...
People also ask
What is the difference between simulated annealing and particle swarm optimization?
What is the weakness of particle swarm optimization?
What is the difference between particle swarm optimization and ant colony optimization?
What are the advantages of particle swarm optimization over genetic algorithm?
Comparison of particle swarm optimization and simulated annealing for locating additional boreholes considering combined variance minimization. S Soltani ...
The performance of two stochastic search methods, particle swarm optimisation (PSO) and simulated annealing (SA), when used for fault identification of ...
Comparison of particle swarm optimization and simulated annealing for locating additional boreholes considering combined variance minimization.
The objective of this paper is to test the performance of Repulsive Particle Swarm and Simulated Annealing on some test functions. Since Repulsive Particle ...
Comparison of particle swarm optimization and simulated annealing for locating additional boreholes considering combined variance minimization. S Soltani ...
In this paper, I compare the performance of particle swarm optimization (PSO) and simulated annealing (SA) on a system of electricity distribution in a rural ...
Missing: locating boreholes variance