Clustering Problems for More Useful Benchmarking of Optimization Algorithms.
Marcus GallagherPublished in: SEAL (2014)
Keyphrases
- optimization problems
- discrete optimization
- combinatorial optimization
- optimization methods
- test problems
- benchmark problems
- evolutionary algorithm
- global optimization problems
- convex optimization problems
- optimization approaches
- combinatorial optimization problems
- computational complexity
- related problems
- data mining tasks
- data clustering
- efficient algorithms for solving
- evolution strategy
- computationally efficient
- significant improvement
- continuous optimization
- problems in computer vision
- synthetic and real datasets
- data mining
- k means
- optimization criteria
- large scale data sets
- np complete
- theoretical guarantees
- convergence rate
- convex functions
- approximate solutions
- search methods
- constrained optimization
- spectral clustering