Bio-Inspired Crossover Cosine Swarm Optimization Algorithm Based Task Scheduling for Quality of Service Improvement Under Cloud Environment.
C. SanthiyaS. PadmavathiPublished in: J. Signal Process. Syst. (2024)
Keyphrases
- optimization algorithm
- bio inspired
- quality of service
- swarm intelligence
- particle swarm optimization pso
- differential evolution
- resource management
- qos requirements
- multi objective
- scheduling algorithm
- evolutionary algorithm
- resource utilization
- particle swarm optimization
- evolutionary computation
- artificial bee colony
- honey bee
- pso algorithm
- response time
- optimization method
- admission control
- genetic programming
- ip networks
- qos parameters
- ad hoc networks
- computational intelligence
- crossover operator
- qos routing
- mutation operator
- particle swarm
- hybrid algorithm
- bandwidth allocation
- genetic algorithm
- real time
- bandwidth utilization
- genetic algorithm ga
- ant colony optimization
- web services
- premature convergence
- network resources
- convergence speed
- multimedia services
- selection strategy
- grid computing
- inertia weight
- artificial neural networks
- nsga ii
- neural network
- artificial intelligence