Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space.
Alejandro MarreroEduardo SegredoEmma HartJakob BossekAneta NeumannPublished in: GECCO (2023)
Keyphrases
- feature space
- feature set
- knapsack problem
- feature vectors
- high dimensionality
- input space
- training samples
- optimal solution
- image retrieval
- upper bound
- wide variety
- principal component analysis
- feature extraction
- novelty detection
- dimension reduction
- dimensionality reduction
- data points
- classification accuracy
- dynamic programming
- input data
- image representation
- kernel function
- high dimensional
- search strategies
- training set
- training instances
- linear discriminant analysis
- evolutionary algorithm
- bayesian networks
- face recognition
- generation process