Description: Simulated annealing algorithm- combinatorial optimization
Simulated annealing algorithm used to solve optimization problems and the group, it is the physical simulation of the crystal material in the annealing process and the development of an optimization algorithm. Solid substances in the simulated annealing process, it is usually heated it first melts, so that the particles are free to exercise, then gradually decreased as the temperature of the particles gradually formed a lower state of the lattice. If the temperature drops near the condensation rate slow enough, the solids will form the lowest energy state of the ground state.
For combinatorial optimization problems, it also has such a similar process. Combinatorial optimization problem the solution space of each point represents a different objective function value of the solution. The so-called optimization, is in the solution space to find the minimum objective function (large) solution process. If the objective function a
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模拟退火\data.mat
........\sa.m
........\sa2.m
........\使用说明.txt
........\肾资源的优化分配问题\肾资源的优化分配问题.doc
........\....................\附件1_HLAMM数据.txt
........\....................\附件2_HLAMM数据.txt
........\....................\附件3_等待时间数据.txt
........\肾资源的优化分配问题
模拟退火
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