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Simulated Annealing with iterative improvement

机译:用迭代改进模拟退火

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In this paper, we have compare the results from the classical simulated annealing algorithm (SA) with iterative improvement simulated annealing algorithm (IISA) as initial solution. The benchmark test is performing on three different combinatorial optimization problem traveling salesman problem, N-queen problem and cell placement problem. The characteristic of the cost function of different problem instance are presented. The numerical results are show that the modified scheme provide better results than the classical algorithm.
机译:在本文中,我们将来自经典模拟退火算法(SA)的结果进行了与迭代改进模拟的退火算法(IISA)的初始解决方案进行了比较。基准测试正上三种不同的组合优化问题行驶推销员问题,正式问题和细胞放置问题。提出了不同问题实例成本函数的特性。数值结果表明,修改方案提供比经典算法更好的结果。

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