A Double Exponential Particle Swarm Optimization with non-uniform variates as stochastic tuning and guaranteed convergence to a global optimum with sample applications to finding optimal exact designs in biostatistics.
Milan StehlíkPing-Yang ChenWeng Kee WongJozef KiselákPublished in: Appl. Soft Comput. (2024)
Keyphrases
- finding optimal
- global optimum
- particle swarm optimization
- global convergence
- double exponential
- faster convergence
- convergence speed
- step size
- pso algorithm
- optimization method
- objective function
- simulated annealing
- particle swarm
- search space
- differential evolution
- global solution
- computational intelligence methods
- convergence rate
- optimal solution
- global optimization
- multi objective
- particle swarm optimization algorithm
- data complexity
- worst case
- metaheuristic
- computational intelligence
- monte carlo
- genetic algorithm
- special case
- data sources
- combinatorial optimization
- expressive power