A hybrid multi-objective metaheuristic optimization algorithm for scientific workflow scheduling.
Ali MohammadzadehMohammad MasdariFarhad Soleimanian GharehchopoghAhmad JafarianPublished in: Clust. Comput. (2021)
Keyphrases
- optimization algorithm
- multi objective
- metaheuristic
- scientific workflows
- particle swarm optimization
- genetic algorithm
- evolutionary algorithm
- optimization problems
- multiple objectives
- greedy randomized adaptive search procedure
- harmony search
- simulated annealing
- tabu search
- hybrid optimization algorithm
- scatter search
- multi objective optimization
- ant colony optimization
- honey bee
- optimization method
- objective function
- multiobjective optimization
- differential evolution
- search space
- combinatorial optimization problems
- scheduling problem
- combinatorial optimization
- particle swarm optimization pso
- path relinking
- nsga ii
- particle swarm optimization algorithm
- artificial bee colony
- pso algorithm
- scientific data
- vehicle routing problem
- hybrid algorithm
- evolutionary computation
- file system
- optimization strategy
- swarm intelligence
- global optima
- nature inspired
- solution space
- particle swarm
- optimal solution
- feasible solution
- bi objective
- semantic annotation
- job shop scheduling problem
- benchmark problems
- service oriented
- particle swarm optimisation
- memetic algorithm
- search procedure
- global optimization
- bp neural network