Article
Self-adaptive genetic algorithms with simulated binary crossover.
Evolutionary computation - 1 Jan 2001
Deb K, Beyer H G
Abstract excerpt
Self-adaptation is an essential feature of natural evolution. However, in the context of function optimization, self-adaptation features of evolutionary search algorithms have been explored mainly with evolution strategy (ES) and evolutionary programming (EP). In this paper, we demonstrate the self-adaptive feature of real-parameter genetic algorithms (GAs) using a simulated binary crossover (SBX) operator and...
Topics
- Algorithms
- Bias
- Biological Evolution
- Computer Simulation
- Genetics, Population
- Models, Genetic
- Models, Statistical
- Mutation