A parallel genetic algorithm to speed up the resolution of the algorithm selection problem.
Alejandro MarreroEduardo SegredoCoromoto LeónPublished in: GECCO Companion (2021)
Keyphrases
- parallel genetic algorithm
- dynamic programming
- np hard
- preprocessing
- computational cost
- optimization algorithm
- computational complexity
- learning algorithm
- improved algorithm
- recognition algorithm
- matching algorithm
- detection algorithm
- linear programming
- convergence rate
- significant improvement
- classification algorithm
- theoretical analysis
- particle swarm optimization
- neural network
- bayesian networks
- convex hull
- times faster
- segmentation algorithm
- expectation maximization
- simulated annealing
- high accuracy
- data sets
- experimental evaluation
- feature selection
- clustering algorithm
- cost function
- multi objective
- high resolution
- decision trees
- similarity measure
- objective function