The Evolutionary Solver setting that helps the algorithm explore a completely different area of the feasible region is:
A) convergence
B) mutation rate
C) population size
D) random seed

Question

The Evolutionary Solver setting that helps the algorithm explore a completely different area of the feasible region is:
A) convergence 
B) mutation rate 
C) population size 
D) random seed

Quizplus · Accepted Answer

The mutation rate determines the probability of each gene being randomly changed during the evolution process. By increasing the mutation rate, the algorithm is more likely to explore a larger area of the feasible region, even if it means moving away from the current best solution. This can help prevent the algorithm from getting stuck in a local optimum and instead find the global optimum. Increasing the population size can also help with exploration, but it can also slow down the convergence of the algorithm. Random seed does not affect the exploration of the feasible region.

The Evolutionary Solver Setting That Helps the Algorithm Explore a Completely