Application of genetic algorithm in problems of approximation of complex multidimensional dependencies and identification of parameters of theoretical models.
Dmitry GlukhovTatsiana HlukhavaAliaksandr LukyanauPublished in: CMIS (2020)
Keyphrases
- genetic algorithm
- theoretical models
- solving complex
- highly non linear
- parameter identification
- real world
- maximum likelihood
- neural network
- evolutionary algorithm
- optimization problems
- lower bound
- approximation algorithms
- cooperative
- case study
- approximation schemes
- multi objective
- knowledge discovery
- simulated annealing
- computational model
- machine learning