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本文介绍了模拟退火算法的原理和求解方法,并将其用于指数曲线的拟合,在Matlab语言环境下实现了该算法,并且与文献中的遗传算法、线性回归相比较。数值模拟结果表明,该算法能更好地实现最优拟合。-This article describes the principle of simulated annealing algorithm and solution methods, and used an exponential curve fitting, the language environmen
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基于压缩感知的伪随机多相码连续波雷达,为了提高目标信息提取的有效性,采用模拟退火算法对波形进行优化。仿真结果表明了该方法的优越性。-To improve the effectiveness of targets information extraction, the waveform is optimized using Simulated Annealing (SA) algorithm.Simulation results demonstrate the merits of the prop
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本文通过理论分析,仿真实现了模拟退火算法。-Through theoretical analysis, simulation to achieve a simulated annealing algorithm.
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双向PCS控制仿真,基于混沌的模拟退火算法,对于初学者具有参考意义。- Two-way PCS control simulation, Chaos-based simulated annealing algorithm, For beginners with a reference value.
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