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基于模拟退火的粒子群算法,模拟退火算法在搜索过程中具有该概率突跳的能力,能够有效地避免搜索过程陷入局部极小解。-Based on simulated annealing particle swarm optimization, simulated annealing algorithm in the search process has a sudden jump in the probability of the capacity, which can effectively avoid the search process into a local minimum solution.
Date : 2025-12-20 Size : 3kb User : cuiping5122

DL : 0
模拟退火算法的MATLAB实现,通过赋予搜索过程一种时变且最终趋于零的概率突跳性,从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法。-MATLAB implementation of simulated annealing algorithm, a search process by giving time-varying and ultimately tends to zero the probability of jumps, which can effectively avoid local minima and ultimately global optimization algorithm has been optimized serial structure.
Date : 2025-12-20 Size : 1kb User : 李天
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