Validating an Interactive Ranking Operator for NSGA-II to Support the Optimization of Software Engineering Problems.
Willian Marques FreireCláudia Tupan RosaAline Maria Malachini Miotto AmaralThelma Elita ColanziPublished in: SBES (2022)
Keyphrases
- engineering problems
- multiobjective optimization
- nsga ii
- multi objective
- engineering design problems
- search based software engineering
- evolutionary multiobjective
- optimization algorithm
- optimization problems
- optimum design
- evolutionary algorithm
- multiobjective evolutionary algorithm
- min max
- multi objective optimization
- test problems
- multi objective evolutionary algorithms
- pareto optimal
- swarm intelligence
- uniform design
- engineering design
- success stories
- evolutionary multiobjective optimization
- genetic algorithm
- artificial immune system
- multi objective differential evolution
- neural network
- artificial intelligence
- optimal solution
- multi objective optimisation
- multi objective genetic algorithm
- multiple objectives
- search algorithm
- artificial neural networks
- particle swarm optimization
- reinforcement learning
- software development
- computationally efficient
- fitness function
- differential evolution
- knapsack problem
- benchmark problems
- crossover operator