Multiobjective differential evolution for scheduling workflow applications on global Grids.
A. K. M. Khaled Ahsan TalukderMichael KirleyRajkumar BuyyaPublished in: Concurr. Comput. Pract. Exp. (2009)
Keyphrases
- differential evolution
- multi objective
- evolutionary algorithm
- optimization algorithm
- particle swarm optimization
- multiobjective optimization problems
- artificial bee colony
- multiple objectives
- multi objective optimization
- nsga ii
- convergence speed
- test functions
- genetic algorithm
- multi objective optimization problems
- differential evolution algorithm
- optimization method
- multiobjective optimization
- mutation operator
- evolutionary computation
- particle swarm optimization pso
- optimization problems
- global optimization problems
- hybrid algorithm
- multi objective problems
- pareto optimal
- numerical optimization problems
- evolution strategy
- particle swarm
- direct search
- fitness function
- genetic programming
- objective function
- particle swarm optimization algorithm
- parameter optimization
- control parameters
- evolutionary programming
- multi objective evolutionary algorithms
- genetic operators
- scheduling problem
- bi objective
- simulated annealing
- global optimization
- function optimization problems
- pso algorithm
- solving global optimization problems
- neural network
- numerical optimization
- evolutionary strategy
- min max
- job shop scheduling problem
- crossover operator
- swarm intelligence