An adaptive evolutionary algorithm based on non-euclidean geometry for many-objective optimization.
Annibale PanichellaPublished in: GECCO (2019)
Keyphrases
- evolutionary algorithm
- multi objective
- multiple objectives
- nsga ii
- optimization problems
- evolutionary computation
- multi objective optimization
- tangent space
- differential evolution
- multi objective evolutionary algorithms
- simulated annealing
- genetic programming
- genetic operators
- fitness function
- function optimization
- geometric structure
- three dimensional
- euclidean space
- adaptive learning
- mutation operator
- optimization algorithm
- euclidean distance
- quantum evolutionary algorithm
- multiobjective optimization
- data points
- search space
- data sets
- euclidean geometry