Add to Chrome
✅ The verified answer to this question is available below. Our community-reviewed solutions help you understand the material better.
Mark all of the differences between genetic algorithms (GA) and simulated annealing (SA):
GA will always converge to an optimal solution faster than SA on any given problem.
SA has no parameters to set whereas GA requires you to set several parameters such asthe crossover rate.
SA has no parameters to set whereas GA requires you to set several parameters such as
the crossover rate.
SA is used for minimization problems where as GA is used for maximization problems.
GA maintains multiple candidate solutions.
Get Unlimited Answers To Exam Questions - Install Crowdly Extension Now!