Mutation-based genetic algorithm for efficiency optimisation of unit testing.
Rijwan KhanMohd AmjadPublished in: Int. J. Adv. Intell. Paradigms (2019)
Keyphrases
- genetic algorithm
- fitness function
- evolutionary algorithm
- population size
- genetic algorithm ga
- genetic operators
- simulated annealing
- neural network
- multi objective
- mutation operator
- evolutionary computation
- artificial neural networks
- search capabilities
- crossover operator
- unit testing
- metaheuristic
- black box
- highly efficient
- genetic programming
- software testing
- ant colony optimization
- differential evolution
- particle swarm optimization
- relational databases
- training set
- cooperative
- decision making