matlab模拟退火遗传算法我要分享

Matlab simulated annealing genetic algorithm

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中文说明:matlab模拟退火遗传算法模拟退火算法来源于固体退火原理,在热力学上,退火(annealing)现象指物体逐渐降温的物理现象,温度愈低,物体的能量状态会低;够低后,液体开始冷凝与结晶,在结晶状态时,系统的能量状态最低。大自然在缓慢降温(亦即,退火)时,可“找到”最低能量状态:结晶。但是,如果过程过急过快,快速降温(亦称「淬炼」,quenching)时,会导致不是最低能态的非晶形。 --------------------- 


English Description:

Matlab simulated annealing genetic algorithm simulated annealing algorithm comes from the principle of solid annealing. In thermodynamics, annealing phenomenon refers to the physical phenomenon that the object gradually cools down. The lower the temperature is, the lower the energy state of the object will be. When the temperature is low enough, the liquid begins to condense and crystallize. In the crystallization state, the energy state of the system is the lowest. When nature cools down slowly (that is, annealing), it can "find" the lowest energy state: crystallization. However, if the process is too fast and too fast, it will lead to amorphous which is not the lowest energy state when the temperature drops rapidly (also known as quenching).


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