An approach based on genetic algorithms and machine learning coupled for studying alloy and molecular clusters by optimizing quantum energy surfaces.
Umar Lucio RezendeLeonardo A. De SouzaJadson Cláudio BelchiorPublished in: J. Comput. Chem. (2023)
Keyphrases
- machine learning
- genetic algorithm
- three dimensional
- clustering algorithm
- hierarchical clustering
- evolutionary computing
- energy consumption
- fuzzy logic
- machine learning methods
- simulated annealing
- learning algorithm
- text classification
- learning classifier systems
- fitness function
- data points
- information extraction
- natural language processing
- text mining
- surface reconstruction
- data mining
- metaheuristic
- free form
- evolutionary algorithm
- artificial neural networks
- feature selection
- support vector machine
- energy minimization
- model selection
- surface roughness
- wireless sensor networks
- decision trees
- arbitrary shape
- document clustering
- artificial intelligence
- computer vision
- analysis of gene expression data
- neural network
- room temperature
- computational intelligence
- fuzzy clustering
- data clustering
- cluster analysis
- microarray
- active learning
- machine learning algorithms
- genetic programming
- d objects