A unified fitness function calculation rule for flag conditions to improve evolutionary testing.
Xiyang LiuHehui LiuBin WangPing ChenXiyao CaiPublished in: ASE (2005)
Keyphrases
- fitness function
- genetic algorithm
- evolutionary computation
- genetic programming
- evolutionary algorithm
- genetic algorithm ga
- evolutionary search
- evolutionary process
- fitness evaluation
- genetic operators
- mutation rate
- search space
- crossover operator
- test data generation
- constrained optimization problems
- initial population
- nsga ii
- candidate solutions
- particle swarm optimisation
- multi objective
- software testing
- neural network
- hybrid algorithm
- crossover and mutation
- global optimization
- differential evolution
- particle swarm optimization
- binary particle swarm optimization
- genetic algorithm is employed