An application of quantum-inspired particle swarm optimization to function optimization problems.
Koichiro TazukeNoriyuki MuramotoNobuyuki MatsuiTeijiro IsokawaPublished in: IJCNN (2013)
Keyphrases
- function optimization problems
- quantum inspired
- particle swarm optimization
- differential evolution
- mutation operator
- genetic algorithm
- function optimization
- binary gravitational search algorithm
- premature convergence
- pso algorithm
- biogeography based optimization
- convergence speed
- particle swarm optimization pso
- global optimization
- binary particle swarm optimization
- population diversity
- evolutionary programming
- optimization method
- multi objective
- particle swarm optimization algorithm
- test functions
- particle swarm
- evolutionary algorithm
- immune clonal
- hybrid algorithm
- swarm intelligence
- constrained optimization problems
- quantum computing
- ant colony optimization
- multi objective optimization
- evolution strategy
- evolutionary strategy
- metaheuristic
- particle swarm optimizer
- optimization algorithm
- crossover operator
- inertia weight
- nsga ii
- fitness function
- step size
- global search