Genetic algorithms (GAs) are stochastic search techniques inspired from the natural selection in the evolution process. Parameters of an algorithm or system can be regarded as chromosomes of individuals in a population of solutions. The fitter solution will be reproduced. GAs can provide solutions for highly complex search spaces.
Fields & Methodologies
- Canonical GAs
- Island Models
- Parallel GAs
- GAs with Fuzzy Fitness
- Opposition-Based GAs