论文标题
在定向固化时估算界面传热系数时，元启发式优化算法的性能分析
Performance Analysis of Metaheuristic Optimization Algorithms in Estimating the Interfacial Heat Transfer Coefficient on Directional Solidification
论文作者
论文摘要
在本文中提出了对应用于固化现象上偶联的界面传热系数（IHTC）的逆优化的十种元启发式优化算法的评估。它被认为是Al-7wt。％Si合金的向上定向凝固系统，对于IHTC模型，它是指数时间函数。合金的所有热物理特性都被认为是恒定的。 Scheil规则用作隔离模型在阶段转换接口。马尔可夫链蒙特卡洛法（MCMC）的优化结果被视为参考。基于平均值，分位数为95％和5％，掌骨，元催化方法的平均迭代和绝对错误，与MCMC结果相关，花授粉算法（FPA）和蛾 - 弗拉姆优化（MFO）在这些特定的景观中表现出最适合的结果，均超过了这些特定景观的结果。还确定了IHTC时间函数中参数值最可能值的区域。
In this paper is proposed an evaluation of ten metaheuristic optimization algorithms applied on the inverse optimization of the Interfacial Heat Transfer Coefficient (IHTC) coupled on the solidification phenomenon. It was considered an upward directional solidification system for Al-7wt.% Si alloy and, for IHTC model, a exponential time function. All thermophysical properties of the alloy were considered constant. Scheil Rule was used as segregation model ahead phase-transformation interface. Optimization results from Markov Chain Monte Carlo method (MCMC) were considered as reference. Based on average, quantiles 95% and 5%, kurtosis, average iterations and absolute errors of the metaheuristic methods, in relation to MCMC results, the Flower Pollination Algorithm (FPA) and Moth-Flame Optimization (MFO) presented the most appropriate results, outperforming the other methods in this particular phenomenon, based on these metrics. The regions with the most probable values for parameters in IHTC time function were also determined.
