A Comparison of Genetic Algorithms and Particle Swarm Optimization to Estimate Cluster-Based Kriging Parameters.
Carlos YasojimaTiago Davi Oliveira de AraújoBianchi Serique MeiguinsNelson NetoJefferson MoraisPublished in: EPIA (1) (2019)
Keyphrases
- particle swarm optimization
- genetic algorithm
- pso algorithm
- evolutionary strategy
- inertia weight
- particle swarm optimization algorithm
- multi objective
- hybrid algorithm
- parameter set
- parameter estimation
- metaheuristic
- particle swarm
- differential evolution
- particle swarm optimization pso
- estimation process
- black box
- global optimization
- fuzzy logic
- neural network
- optimization method
- parameter values
- tabu search
- expectation maximization
- simulated annealing
- sensitivity analysis
- parameter settings
- convergence speed
- fitness function
- global search
- accurate estimation
- maximum likelihood
- initial estimates