The unique characteristics of genetic algorithms that we discussed in the previous sections provide several advantages over traditional search algorithms.
The main advantages of genetic algorithms are as follows:
- Global optimization capability
- Handling problems with a complex mathematical representation
- Handling problems that lack mathematical representation
- Resilience to noise
- Support for parallelism and distributed processing
- Suitability for continuous learning
We will cover each of these in the upcoming sections.