Evolutionary Computation is a subfield of artificial intelligence that uses mechanisms inspired by biological evolution, such as selection, mutation, and crossover, to solve optimization and search problems. It is particularly effective for complex problems where traditional methods are inefficient or infeasible, leveraging populations of potential solutions to explore a vast search space adaptively.