Using differential evolution and Moth-Flame optimization for scientific workflow scheduling in fog computing.
Omed Hassan AhmedJoan LuQiang XuAram Mahmood AhmedAmir Masoud RahmaniMehdi HosseinzadehPublished in: Appl. Soft Comput. (2021)
Keyphrases
- differential evolution
- optimization algorithm
- optimization method
- evolution strategy
- scientific workflows
- evolutionary algorithm
- parameter optimization
- global optimization problems
- real coded
- convergence speed
- differential evolution algorithm
- test functions
- particle swarm optimization
- harmony search
- particle swarm optimization pso
- direct search
- constrained optimization problems
- mutation operator
- evolutionary strategy
- particle swarm
- multi objective
- optimization problems
- multi objective optimization
- genetic algorithm
- artificial bee colony
- numerical optimization
- numerical optimization problems
- multiple objectives
- multi objective evolutionary algorithms
- solving global optimization problems
- function optimization
- scheduling problem
- neural network
- optimization model
- global search
- service oriented
- scientific data
- semantic annotation
- web services
- database