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Simulated annealing (SA) is a probabilistic technique for approximating the global optimum of a given function. Specifically, it is a metaheuristic to approximate global optimization in a large search space for an optimization problem. For large numbers of local optima, SA can find the global optimum. [1]
Adaptive simulated annealing (ASA) is a variant of simulated annealing (SA) algorithm in which the algorithm parameters that control temperature schedule and random step selection are automatically adjusted according to algorithm progress. This makes the algorithm more efficient and less sensitive to user defined parameters than canonical SA.
The technique of simulated annealing is based on changing the probability of doing a random move over one that maximally decreasing the cost. In particular, the name originates from the strategy of decreasing the probability of doing random moves during the execution of the algorithm, thus virtually "freezing" the space of search.
This process is called simulated annealing. To train the network so that the chance it will converge to a global state according to an external distribution over these states, the weights must be set so that the global states with the highest probabilities get the lowest energies.
Mean field annealing is a deterministic approximation to the simulated annealing technique of solving optimization problems. [1] This method uses mean field theory and is based on Peierls' inequality .
The CYANA package includes the previous DYANA system, that uses simulated annealing combined with molecular dynamics in torsion angle space (torsion angle dynamics). The target function used as the potential energy, and system can move away from local minima of the target function because it is coupled to a temperature bath which is cooled down ...
If neighborhood searched is limited to just one or a very small number of changes from the current solution, then it can be difficult to escape from local minima, even with additional meta-heuristic techniques such as Simulated Annealing or Tabu search. In large neighborhood search techniques, the possible changes from one solution to its ...
Many of the structure calculation protocols involve the use of simulated annealing designed to overcome local minima on the path of the global minimum region of the target function. These calculations can be carried out using any combination of Cartesian, torsion angle and rigid body dynamics and minimization.