Description: Simulated annealing algorithm comes from solid annealing principle, will warm to fully solid high, then let it slowly cooling, heating, solid internal particles with a temperature rise of disorder, can increase, and gradually cooled gradually orderly particles, and in every temperature at the balance state, and the last in the normal temperature at the ground state, internal energy is reduced to the minimum standards according to the Metropolis, particle in temperature T tend to balance when the probability of e-Δ e/(kT), which for temperature T e the internal energy, Δ e for its change the volume, k as Boltzmann constant use solid annealing simulation combinatorial optimization problem, the internal energy e simulation for target function value f, temperature T evolution into control parameters T, namely get solution combinatorial optimization problem of simulated annealing algorithm: the initial solution I and control parameter optimization.finally T start
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遗传模拟退火算法\遗传模拟退火算法.cpp
遗传模拟退火算法
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