Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation.
Han HuangFangqing LiuXiaoyan ZhuoZhifeng HaoPublished in: IEEE Comput. Intell. Mag. (2017)
Keyphrases
- fitness function
- differential evolution
- evolutionary algorithm
- test case generation
- test data generation
- genetic algorithm
- evolutionary search
- evolutionary computation
- genetic algorithm ga
- genetic programming
- differential evolution algorithm
- convergence speed
- test cases
- constrained optimization problems
- multi objective
- test functions
- mutation operator
- optimization problems
- real coded
- premature convergence
- particle swarm optimization pso
- optimization method
- crossover operator
- software testing
- genetic operators
- multi objective optimization
- evolution strategy
- evolutionary process
- parameter optimization
- particle swarm optimization
- evolutionary strategy
- initial population
- hybrid algorithm
- simulated annealing
- particle swarm
- optimization algorithm
- particle swarm optimisation
- nsga ii
- object oriented systems
- crossover and mutation
- test suite
- binary particle swarm optimization
- test set
- simulated annealing algorithm
- java programs
- mutation rate
- control parameters
- pso algorithm
- optimization methods