ABSTRACT A new data-driven reference vector-guided evolutionary algorithm has been
successfully implemented to construct surrogate models for various objectives pertinent to …

Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are
used in learning and modeling especially with the advent of big data related problems. This …

To solve the problem of fuzzy classification of manufacturing resources in a cloud
manufacturing environment, a hybrid algorithm based on genetic algorithm (GA), simulated …

This paper addresses the problem of predicting thermal diffusion (α) and conductivity (k)
during a microwave heating process. The estimation required the use of “simulated thermal …

Charging programs giving rise to desired burden and gas distributions in the ironmaking
blast furnace were detected through an evolutionary multi-objective optimization strategy …

The aim of the work is to propose an alternative method to qualitatively evaluate the
wettability of different alloys of a particular alloy system. The technique is based on a thermal …

One of the most important parameters in the foundry design of castings is the heat transfer
coefficient at the casting/mold surface (h), which significantly affects the solidification cooling …

The numerical simulation and optimization in solidification involving geometries beyond one
dimension normally requires expensive computational approaches in memory and data …

The present investigation is focused on, firstly, performing transient directional solidification
experiments with a Sn-0.2 wt.% Ni solder alloy using two different substrates as mold sheets …

Bi–Ag lead-free alloys are considered interesting alternatives to Pb-based traditional solders
due to compatible melting point and strength. During soldering, the ability of a liquid alloy to …