Impact of Inertia Weight and Cognitive and Social Constants in Obtaining Best Mean Fitness Value for PSO.
Yallapragada V. R. Naga PawanKolla Bhanu PrakashPublished in: SocProS (2) (2018)
Keyphrases
- inertia weight
- particle swarm optimization
- particle swarm optimization algorithm
- particle swarm optimization pso
- pso algorithm
- convergence speed
- fitness values
- standard pso
- genetic algorithm
- evolutionary algorithm
- population diversity
- global search
- social factors
- dynamic adaptation
- differential evolution
- evolution strategy
- genetic algorithm ga
- particle swarm
- inertia weight particle swarm optimization
- swarm intelligence
- global optimization
- multi objective
- premature convergence
- optimization algorithm
- adaptive particle swarm optimization
- mutation operator
- social networks
- social behavior
- chaotic map
- fitness function
- hybrid algorithm
- social media
- genetic programming
- social intelligence
- particle swarm optimisation
- natural selection
- simulated annealing
- convergence rate
- individual level
- ant colony optimization
- information processing
- particle swarm optimizer
- social interaction
- embodied conversational agents
- sensemaking
- computational intelligence
- distributed cognition
- evolutionary process