How does the temperature parameter influence the behaviour of the simulated annealing algorithm?

Select one:

Higher temperatures increase the probability of accepting worse solutions, aiding in escaping local optima.

Lower temperatures result in more random moves being accepted.

Temperature does not affect the solution acceptance but controls the speed of the search.

Constant temperature ensures the algorithm behaves like a greedy algorithm.

Temperature increases as the search progresses to explore more of the search space.