Self-adaptive PSO memetic algorithm for multi objective workflow scheduling in hybrid cloud.
Padmaveni KrishnanD. John AravindharPublished in: Int. Arab J. Inf. Technol. (2019)
Keyphrases
- branch and bound
- memetic algorithm
- multi objective
- combinatorial optimization
- particle swarm optimization
- evolutionary algorithm
- genetic algorithm
- job shop scheduling problem
- multiple objectives
- tabu search
- optimization algorithm
- branch and bound algorithm
- evolutionary computation
- job shop
- multi objective optimization
- simulated annealing and tabu search
- scheduling problem
- particle swarm
- particle swarm optimization pso
- lower bound
- crossover operator
- simulated annealing
- multi swarm
- optimization problems
- hybrid optimization algorithm
- pso algorithm
- objective function
- vehicle routing problem
- hybrid algorithm
- multi objective problems
- timetabling problem
- conflicting objectives
- fitness function
- cloud computing
- particle swarm optimization algorithm
- nsga ii
- particle swarm optimizer
- differential evolution
- multi objective optimization problems
- imperialist competitive algorithm
- control parameters
- particle swarm optimisation
- scheduling algorithm
- workflow management systems
- swarm intelligence
- multi objective evolutionary algorithms
- pid controller
- business process
- cost function
- web services