Finding the Optimal Sample Based on Shannon's Entropy and Genetic Algorithms.
Edwin Aldana-BobadillaCarlos Alfaro-PérezPublished in: MICAI (1) (2015)
Keyphrases
- genetic algorithm
- information theory
- finding optimal
- dynamic programming
- minimum error
- optimal solution
- shannon entropy
- evolutionary algorithm
- fuzzy logic
- sample size
- multi objective optimization
- neural network
- information theoretic
- multi objective
- optimal control
- artificial neural networks
- genetic algorithm is employed
- genetic programming
- fitness function
- worst case
- artificial immune system
- lower bound
- search algorithm
- stochastic search algorithms