An Empirical Evaluation of Mutation and Crossover Operators for Multi-Objective Uncertainty-Wise Test Minimization.
Shaukat AliYan LiTao YueMan ZhangPublished in: SBST@ICSE (2017)
Keyphrases
- multi objective
- crossover operator
- evolutionary algorithm
- nsga ii
- mutation operator
- genetic algorithm
- differential evolution
- multi objective optimization
- optimization algorithm
- fitness function
- selection operator
- memetic algorithm
- objective function
- particle swarm optimization
- optimization problems
- genetic operators
- evolutionary computation
- function optimization
- genetic algorithm ga
- multiple objectives
- pareto optimal
- premature convergence
- conflicting objectives
- population diversity
- pairwise
- evolution strategy
- evolutionary programming
- evolutionary optimization
- particle swarm
- simulated annealing
- evolutionary process
- explore the search space
- hybrid algorithm
- multi objective optimization problems
- crossover and mutation
- artificial neural networks
- bi objective
- genetic programming
- traveling salesman problem
- initial population
- constraint satisfaction problems
- global search
- multi criteria
- neural network
- particle swarm optimization pso
- optimum design
- convergence speed