Evolutionary Algorithms and Applications

Evolutionary Algorithms and Applications is a research topic within Artificial Intelligence. Science Explorer counts 31k research works in it since 1951. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of genetic programming in machine learning, particularly in the areas of classification, feature selection, symbolic regression, and evolvable hardware. It explores the use of evolutionary algorithms and learning classifier systems to solve complex problems, with an emphasis on multiobjective optimization and semantic genetic programming.

• Genetic Programming
• Machine Learning
• Classification
• Evolutionary Algorithms
• Feature Selection
• Symbolic Regression
• Evolvable Hardware
• Learning Classifier Systems
• Semantic Genetic Programming
• Multiobjective Optimization