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Simulated annealing algorithm
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Simulated annealing algorithm comes from the principle of solid annealing. It is a probability based algorithm. The solid is heated to a high enough temperature, and then cooled slowly. When heated, the particles inside the solid become disordered with the temperature rise, and the internal energy increases. When cooled slowly, the particles become orderly, and reach the equilibrium state at each temperature, and finally reach the ground state at room temperature, and the internal energy decreases to the minimum.
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Ant colony algorithm
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Ant colony algorithm is a probabilistic algorithm used to find the optimal path. It was proposed by Marco Dorigo in his doctoral dissertation in 1992, and its inspiration comes from the behavior of ants finding paths in the process of searching for food. This algorithm has the characteristics of distributed computing, positive information feedback and heuristic search. In essence, it is a heuristic global optimization algorithm in evolutionary algorithm.
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