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Accepting worse solutions is a fundamental property of metaheuristics because it allows for a more extensive search for the global optimal solution.

Heating and cooling the material affects both the temperature and the thermodynamic free energy.The simulation of annealing can be used to find an approximation of a global minimum for a function with a large number of variables.This notion of slow cooling implemented in the simulated annealing algorithm is interpreted as a slow decrease in the probability of accepting worse solutions as the solution space is explored. Both are attributes of the material that depend on its thermodynamic free energy. For problems where finding an approximate global optimum is more important than finding a precise local optimum in a fixed amount of time, simulated annealing may be preferable to alternatives such as.The name and inspiration come from, a technique involving heating and controlled cooling of a material to increase the size of its crystals and reduce their defects.