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An Evaluation of the Use of Simulated Annealing to Optimize Thinning Rates for Single Even-Aged Stands

机译:使用模拟退火技术优化单个均匀老化机架的稀疏率的评估

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We evaluated the potential of simulated annealing as a reliable method for optimizing thinning rates for single even-aged stands. Four types of yield models were used as benchmark models to examine the algorithm’s versatility. Thinning rate, which was constrained to 0–50% every 5 years at stand ages of 10–45 years, was optimized to maximize the net present value for one fixed rotation term (50 years). The best parameters for the simulated annealing were chosen from 113patterns, using the mean of the net present value from 39 runs to ensure the best performance. We compared the solutions with those from coarse full enumeration to evaluate the method’s reliability and with 39 runs of random search to evaluate its efficiency. In contrast to random search, the best run of simulated annealing for each of the four yield models resulted in a better solution than coarse full enumeration. However, variations in the objective function for two yield models obtained with simulated annealing were significantly larger than those of random search. In conclusion, simulated annealing with optimized parameters is more efficient for optimizing thinning rates than random search. However, it is necessary to execute multiple runs to obtain reliable solutions.
机译:我们评估了模拟退火的潜力,将其作为优化单个均匀时效机架稀疏率的可靠方法。四种类型的收益率模型被用作基准模型,以检验算法的多功能性。稀疏率在10-45年的林分年龄下每5年被限制在0-50%之间,它被优化以最大化一个固定轮换期(50年)的净现值。从113个模式中选择了用于模拟退火的最佳参数,使用39次运行的净现值的平均值来确保最佳性能。我们将解决方案与粗略完整枚举的解决方案进行了比较,以评估该方法的可靠性,并与39次随机搜索进行了比较,以评估其效率。与随机搜索相反,对于四个产量模型中的每一个,模拟退火的最佳运行方式都比粗略的完整枚举更好。但是,通过模拟退火获得的两个收益模型的目标函数变化明显大于随机搜索的变化。总之,与随机搜索相比,具有优化参数的模拟退火对于优化稀化率更有效。但是,必须执行多次运行才能获得可靠的解决方案。

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