Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing.
Poria PirozmandAli Asghar Rahmani HosseinabadiMaedeh FarrokhzadMehdi SadeghilalimiSeyed Saeid MirkamaliAdam SlowikPublished in: Neural Comput. Appl. (2021)
Keyphrases
- hybrid genetic algorithm
- cloud computing
- multi objective
- scheduling problem
- genetic algorithm
- evolutionary algorithm
- genetic operators
- tabu search
- multi objective optimization
- quadratic assignment problem
- crossover operator
- optimization algorithm
- flowshop
- computing resources
- distributed computing
- data center
- service providers
- data management
- nsga ii
- np hard
- cloud computing environment
- big data
- objective function
- particle swarm optimization
- job shop scheduling problem
- cloud storage
- mutation operator
- cloud platform
- parallel machines
- computing infrastructure
- cloud computing platform
- differential evolution
- fitness function
- optimization problems
- lower bound
- databases
- data sets