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模拟退火法源于统计热力物理学,它模拟熔融状态下物体缓慢冷却达到结晶状态的物理过程。模拟退火反演算法的基本思想是:生成一系列参数向量模拟粒子的热运动,通过缓慢地减小一个模拟温度的控制参数,使模拟的系统最终冷却结晶达到系统能量最小值的过程。模拟退火反演算法实质是利用了地球物理反演问题求解过程与熔化固体退火过程的相似性,开辟了地球物理反演的新途径,是非线性反演算法中一种最常用的算法。
Simulated annealing derived from statistical thermodynamic physics, which simulates the physical process of slowly cooling an object to its crystalline state in a molten state. The basic idea of simulated annealing inversion algorithm is: to generate a series of parameter vectors to simulate the thermal motion of the particles, and slowly reduce the control parameters of an analog temperature so that the final cooling system of the simulated system reaches the minimum system energy. The simulated annealing inversion algorithm takes advantage of the similarities between the solving process of the geophysical inversion problem and the melting solid annealing process and opens up a new way of geophysical inversion. It is one of the most commonly used algorithms in nonlinear inversion algorithms.