Knowledge Base
Evolutionary algorithm - Glossary
An evolutionary algorithm is a fascinating concept inspired by the natural process of evolution. These algorithms simulate the way species evolve in the wild adapting to their environment to improve over generations. In essence evolutionary algorithms mimic this process by starting with a set of solutions and progressively refining them to find the best fit for a given problem. Each "generation" of solutions undergoes selection mutation and crossover similar to how living organisms pass on advantageous traits. A real-world example is the optimization of renewable energy systems where these algorithms help determine the most efficient configuration of wind turbines to maximize energy output under varying weather conditions. By continuously evolving these algorithms autonomously shape solutions that are robust efficient and tailored to specific challenges unlocking new paths to innovation.
What is an evolutionary algorithm?
How do evolutionary algorithms work?
What are evolutionary algorithms used for?
Why are evolutionary algorithms important for innovation?