The goal of a numerical optimization problem is to find ... The Solve() method performs the evolutionary algorithm using maxGen = 1,000 generations. The value of maxGen is a hyperparameter. The Solver ...

The goal of a combinatorial optimization problem is to find ... The Solve() method performs the evolutionary algorithm using maxGen = 1,000 generations. The value of maxGen is a hyperparameter. The ...

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 ...