Evolution has provided a source of inspiration for algorithm designers since the birth of computers. The resulting field, evolutionary computation, has been successful in solving engineering tasks ...

Wikimedia One of the most popular types of evolutionary computation is genetic programming. This involves one computer program evolving another working program to tackle a specific problem.

Scientists have created a computer algorithm that can be used to witness virtual creatures evolving their squishy, muscle-like features in order to teach themselves to walk.

Evolutionary computation (EC) incorporates evolutionary ideas into algorithms. These algorithms can be applied to problems of biological interest. They are interesting models for evolution, so ...

At the intersection of neuroscience and artificial intelligence (AI) is an alternative approach to deep learning. Evolutionary algorithms (EA) are a subset of evolutionary computation—algorithms ...

Stanley is a pioneer in a field of artificial intelligence called neuroevolution, which co-opts the principles of biological evolution to design smarter algorithms.

Yu G, Chai T and Luo X (2011) Multi-objective production planning optimization using hybrid evolutionary algorithms for mineral processing. IEEE Transactions on Evolutionary Computation 15 (4): ...