JGBL paradigm: a novel strategy to enhance the exploration ability of nsga-ii.
Ke LiSam KwongKim-Fung ManPublished in: GECCO (Companion) (2011)
Keyphrases
- nsga ii
- multi objective
- evolutionary algorithm
- multi objective optimization
- test problems
- multiobjective optimization
- multiobjective evolutionary algorithm
- pareto optimal
- optimization algorithm
- evolutionary multiobjective optimization
- multi objective evolutionary algorithms
- optimization problems
- evolutionary multiobjective
- fitness function
- multi objective differential evolution
- multi objective genetic algorithm
- constrained multi objective optimization problems
- test functions
- genetic algorithm
- mutation operator
- multi objective optimisation
- optimal solution
- bi objective
- multi objective optimization problems
- uniform design
- crossover operator
- branch and bound algorithm
- differential evolution
- evolutionary computation
- pareto optimal solutions
- pareto dominance
- artificial immune system