  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.
