We encourage you to explore an actual implementation of simulated annealing. This visualization allows you to change the starting temperature of the algorithm, its cooling rate, and how fast it runs. After you click start, press ‘space’ to run through the algorithm slowly, step by step, to get a feel for its decision strategy. If you want to watch the whole thing play out until the temperature has cooled, click “Auto Step.” You can also pause and reset at any time.
while temperature > 1 {
⬤ Choose a new random neighbor
⬤ Is neighbor's height > current solution's?
⬤ (______ > ______) == ______
⬤ True? Move to neighbor & decrease temperature
⬤ False? Calculate acceptance probability:
⬤ 100*e^((new height - old height)/temp)
⬤ Probability = 100*e^((______ - ______) / ______)
⬤ Probability = ______
⬤ Is acceptance probability > Random[0,100]?
⬤ (______ > ______) == ______
⬤ True? Move to neighbor
⬤ False? Do nothing
⬤ Decrease temperature
}