Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...

Evolutionary optimization (EO) is a type of genetic algorithm that can help minimize the error between computed output values and training data target output values ...

Learn More Does evolutionary computation ring a bell? In computer science, it’s the family of algorithms for global optimization inspired by biological evolution. Instead of following explicit ...

Then, the author proposed surrogate-assisted evolutionary algorithm with restart strategy (SAEA-RS) for solving the ECOPs. The author first introduced the framework. The algorithm had two coordinate ...

He also noted that evolutionary algorithms go beyond just learning and can be used for industrial optimization and process controls. “In both the reinforcement learning and the evolutionary ...