A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming.
Abhay KumarDeepak SharmaKalyanmoy DebPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- optimization procedure
- multi objective
- nsga ii
- sequential quadratic programming
- objective function
- optimization method
- optimization algorithm
- multi objective optimization
- evolutionary algorithm
- multiobjective optimization
- pareto optimal
- multiobjective evolutionary algorithm
- multi objective optimization problems
- bi objective
- particle swarm optimization
- multi objective problems
- multi objective evolutionary algorithms
- pareto optimal solutions
- multi objective optimisation
- multiple objectives
- pareto dominance
- evolutionary multiobjective
- superpixels
- genetic algorithm
- optimization problems
- linear programming
- multi criteria
- differential evolution
- pareto fronts
- optimal solution
- test problems
- evolutionary multiobjective optimization
- greedy algorithm
- cost function
- lower bound
- optimum design
- dynamic programming
- learning algorithm
- approximation methods
- genetic programming
- pareto frontier
- strength pareto evolutionary algorithm
- knapsack problem
- machine learning