This article presents a comprehensively state-of-the-art investigation of the engineering
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …

Hot metal desulfurization serves as the main unit process for removing sulfur in blast‐
furnace based steelmaking. The available body of literature on modeling hot metal …

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 …

The set-covering problem aims to find the smallest possible set of subsets that cover all the
elements of a larger set. The difficulty of solving the set-covering problem increases as the …

The efficiency of the hot metal pretreatment process plays a very important role in achieving
high-quality and low-cost advanced steel. From macromixing phenomena obtained by …

Evolutionary data-driven modeling and optimization play a major role in generating meta
models from real-time data. These surrogate models are applied effectively in various …

Sulfur is considered as one of the main impurities in hot metal. Hot metal desulfurization is
often carried out with pneumatic injection of a fine-grade desulfurization reagent using a …

The increasing demand and stringent requirements for high-quality steels necessitate their
desulfurization efficiency enhancement and its robust substantiation. In this study, the …

Herein, particle swarm optimization is used to quickly acquire the optimal composition range
for pearlitic steel. Four groups within the obtained composition range are selected to prepare …

To solve the technical problems of hot metal desulfurization by injecting magnesium
particulate, a new method of hot metal desulfurization by bottom-blowing magnesium vapor …