Which approach is most suited to complex problems with significant uncertainty, a need for experimentation, and time compression?
A) simulation
B) genetic algorithms
C) optimization
D) human intuition

Question

Quizplus · Accepted Answer

Simulation allows for experimentation with complex problems where outcomes may not be known beforehand. With significant uncertainty, it is important to test different scenarios and options, which can be done efficiently through simulations. Time compression is also addressed through simulations as they allow for quick testing of potential outcomes. Genetic algorithms also allow for experimentation, but may not be as efficient or applicable for all types of complex problems. Optimization may work for some complex problems, but may not address significant uncertainty or the need for experimentation. Human intuition should be used in conjunction with other approaches, but on its own may not be the most effective for complex problems.

Which Approach Is Most Suited to Complex Problems with Significant