NSGA-II approach for proper choice of nodes and knots in B-spline curve interpolation.
Liangchen HuWensheng ZhangPublished in: Comput. Aided Des. (2020)
Keyphrases
- b spline
- nsga ii
- multi objective
- cubic spline
- multi objective optimization
- evolutionary algorithm
- piecewise polynomial
- test problems
- multiobjective optimization
- control points
- evolutionary multiobjective
- multiobjective evolutionary algorithm
- pareto optimal
- multi objective differential evolution
- optimization algorithm
- optimization problems
- spline curve
- evolutionary multiobjective optimization
- curve fitting
- multi objective optimisation
- multi objective evolutionary algorithms
- multi objective optimization problems
- constrained multi objective optimization problems
- least squares
- uniform design
- optimal solution
- basis functions
- knapsack problem
- affine transformation
- genetic algorithm
- tensor product
- bi objective
- fitness function
- curve matching
- pareto optimal solutions
- differential evolution
- contour extraction
- crossover operator
- cubic b spline
- min max
- free form deformation
- evolutionary computation
- np hard