A Comparative Study of Different Motif Occurrence Models Applied to a Hybrid Multiobjective Shuffle Frog Leaping Algorithm.
David L. González-ÁlvarezMiguel A. Vega-RodríguezÁlvaro Rubio-LargoPublished in: Comput. J. (2016)
Keyphrases
- multi objective
- preprocessing
- optimization algorithm
- np hard
- learning algorithm
- detection algorithm
- dynamic programming
- probabilistic model
- search space
- cost function
- computational complexity
- optimal solution
- convergence rate
- matching algorithm
- segmentation algorithm
- k means
- genetic algorithm
- particle swarm optimization
- expectation maximization
- objective function
- parameter estimation
- multi objective optimization
- variable length
- model selection
- linear programming
- computational cost
- significant improvement
- artificial neural networks