A novel graph-theoretical clustering approach to find a reduced set with extreme solutions of Pareto optimal solutions for multi-objective optimization problems.
Sanath Darshana KahagalageHasan Hüseyin TuranFatemeh JalalvandSondoss El SawahPublished in: J. Glob. Optim. (2023)
Keyphrases
- pareto optimal solutions
- reduced set
- multi objective
- efficient solutions
- bi objective
- pareto optimal
- multi objective optimization
- graph theoretical clustering
- multi objective evolutionary algorithms
- nsga ii
- optimal solution
- evolutionary algorithm
- multiobjective optimization
- genetic operators
- particle swarm optimization
- multiple objectives
- training set
- genetic algorithm
- optimization algorithm
- hyperplane
- data points
- support vector
- neural network