Fitness-Based Acceleration Coefficients to Enhance the Convergence Speed of Novel Binary Particle Swarm Optimization.
Yasir MehmoodMarium SadiqWaseem ShahzadFaryal AminPublished in: FIT (2018)
Keyphrases
- convergence speed
- binary particle swarm optimization
- particle swarm optimization
- population diversity
- fitness function
- particle swarm optimization algorithm
- differential evolution
- particle swarm
- pso algorithm
- evolutionary algorithm
- genetic algorithm
- global optimization
- genetic programming
- convergence rate
- step size
- binary gravitational search algorithm
- inertia weight
- global search
- particle swarm optimization pso
- multi objective
- faster convergence
- premature convergence
- search capabilities
- global convergence
- particle swarm optimizer
- learning rate
- improve the convergence speed
- routing problem
- steepest descent method
- genetic algorithm ga
- firefly algorithm
- evolutionary computation
- crossover operator
- population size
- optimization algorithm
- simulated annealing
- swarm intelligence
- steady state error
- wavelet coefficients
- control system