Genetic Algorithm Fitness Function Formulation for Test Data Generation with Maximum Statement Coverage.
Tatiana V. AvdeenkoKonstantin SerdyukovPublished in: ICSI (1) (2021)
Keyphrases
- fitness function
- test data generation
- genetic algorithm
- genetic algorithm ga
- genetic programming
- evolutionary algorithm
- search based testing
- evolutionary computation
- fitness evaluation
- genetic operators
- simulated annealing algorithm
- crossover and mutation
- crossover operator
- simulated annealing
- evolutionary search
- initial population
- mutation operator
- genetic algorithm is employed
- tabu search
- search space
- constrained optimization problems
- multi objective
- neural network
- evolutionary process
- particle swarm
- global search
- nsga ii
- population size
- optimization method
- real coded
- binary particle swarm optimization
- metaheuristic
- job shop scheduling problem
- penalty function
- artificial neural networks
- ant colony optimization
- training data
- mutation rate
- test cases
- particle swarm optimization