A comparison study of binary multi-objective Particle Swarm Optimization approaches for test case selection.
Luciano S. de SouzaRicardo B. C. PrudêncioFlávia de Almeida BarrosPublished in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
- particle swarm
- optimization approaches
- multi objective
- test case selection
- optimization methods
- evolutionary algorithm
- particle swarm optimization
- optimization method
- optimization algorithm
- particle swarm algorithm
- optimisation problems
- test cases
- premature convergence
- multi objective optimization
- mathematical programming
- objective function
- optimization strategy
- genetic algorithm
- binary particle swarm optimization
- distribution network
- hybrid optimization algorithm
- swarm intelligence
- simulated annealing
- nsga ii
- optimization problems
- particle swarm optimization algorithm
- differential evolution
- predator prey
- stage stochastic programs
- database
- error rate
- fitness function