Evolutionary computation is a family of algorithms for global optimization inspired by the process of biological evolution, and the subfield of artificial intelligence (AI) and soft computing studying these algorithms. In technical terms, they are a family of population-based trial-and-error problem solvers with a metaheuristic or stochastic optimization character.
The area of evolutionary computing is supporting many of the new generation AI algorithms to generate new processing rules in a dynamic manner to enable the algorithm to automatically adapt to ...
