Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems.
Deepak SharmaAbhay KumarKalyanmoy DebKarthik SindhyaPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- solving multi objective optimization problems
- sequential quadratic programming
- nsga ii
- multi objective optimization
- multi objective evolutionary algorithms
- multi objective
- evolutionary algorithm
- pareto optimal
- multiobjective optimization
- multi objective optimization problems
- test problems
- multiobjective evolutionary algorithm
- multi objective differential evolution
- optimization problems
- bi objective
- differential evolution
- evolutionary multiobjective
- evolutionary multiobjective optimization
- multi objective optimisation
- optimization algorithm
- genetic algorithm
- pareto optimal solutions
- crossover operator
- approximation methods
- multi objective problems
- uniform design
- particle swarm optimization
- fitness function
- constrained multi objective optimization problems
- multi criteria
- knapsack problem
- genetic programming
- search algorithm
- multiple objectives
- computational intelligence
- search space
- learning algorithm