d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response.
Joshua LukemireAbhyuday MandalWeng Kee WongPublished in: Technometrics (2019)
Keyphrases
- particle swarm
- particle swarm optimization algorithm
- quantum particle swarm optimization
- particle swarm optimization
- particle swarm algorithm
- continuous valued
- particle swarm optimisation
- continuous space
- pso algorithm
- premature convergence
- optimization method
- optimisation problems
- swarm intelligence
- discrete space
- continuous data
- fitness function
- continuous domains
- optimization strategy
- piecewise linear
- optimal solution
- binary particle swarm optimization
- differential evolution
- quantum behaved particle swarm optimization
- evolutionary algorithm
- continuous variables
- search capabilities
- binary gravitational search algorithm
- convergence speed
- continuous action
- particle swarm optimizer
- hybrid algorithm
- global optimization
- particle swarm optimization pso
- global search
- quantum inspired
- multi objective
- distribution network
- quantum computing
- predator prey
- hybrid optimization algorithm
- optimization methods
- genetic algorithm
- global convergence