Machine learning for improving performance in an evolutionary algorithm for minimum path with uncertain costs given by massively simulated scenarios.
Ricardo Di PasqualeJavier MarencoPublished in: CoRR (2021)
Keyphrases
- evolutionary algorithm
- machine learning
- multi objective
- optimization problems
- evolutionary computation
- multi objective optimization
- differential evolution
- minimum cost
- function optimization
- machine learning algorithms
- simulated annealing
- mutation operator
- evolutionary process
- feature selection
- decision trees
- genetic operators
- fitness function
- learning algorithm
- genetic programming
- explanation based learning
- computational intelligence
- shortest path
- text classification
- text mining
- data mining
- artificial intelligence
- real world
- decision making
- evolutionary strategy
- pattern recognition
- computer science
- data analysis
- learning tasks
- learning systems
- inductive learning
- knowledge representation
- total cost
- cost sensitive learning
- expected cost
- possibility theory
- path planner
- massively parallel
- learning scenarios
- learning problems
- knowledge acquisition
- natural language processing
- information extraction
- objective function
- reinforcement learning
- computer vision