Nicolás Caselli
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View article: Machine Learning-Based Classification of Sulfide Mineral Spectral Emission in High Temperature Processes
Machine Learning-Based Classification of Sulfide Mineral Spectral Emission in High Temperature Processes Open
Accurate classification of sulfide minerals during combustion is essential for optimizing pyrometallurgical processes such as flash smelting, where efficient combustion impacts resource utilization, energy efficiency, and emission control.…
View article: Dynamic Population on Bio-Inspired Algorithms Using Machine Learning for Global Optimization
Dynamic Population on Bio-Inspired Algorithms Using Machine Learning for Global Optimization Open
In the optimization field, the ability to efficiently tackle complex and high-dimensional problems remains a persistent challenge. Metaheuristic algorithms, with a particular emphasis on their autonomous variants, are emerging as promising…
View article: A Self-Adaptive Cuckoo Search Algorithm Using a Machine Learning Technique
A Self-Adaptive Cuckoo Search Algorithm Using a Machine Learning Technique Open
Metaheuristics are intelligent problem-solvers that have been very efficient in solving huge optimization problems for more than two decades. However, the main drawback of these solvers is the need for problem-dependent and complex paramet…
View article: Clustering-Based Binarization Methods Applied to the Crow Search Algorithm for 0/1 Combinatorial Problems
Clustering-Based Binarization Methods Applied to the Crow Search Algorithm for 0/1 Combinatorial Problems Open
Metaheuristics are smart problem solvers devoted to tackling particularly large optimization problems. During the last 20 years, they have largely been used to solve different problems from the academic as well as from the real-world. Howe…
View article: Clustering-based binarization methods applied to the crow search algorithm for 0_1 combinatorial problems.pdf
Clustering-based binarization methods applied to the crow search algorithm for 0_1 combinatorial problems.pdf Open
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View article: Clustering-based binarization methods applied to the crow search algorithm for 0_1 combinatorial problems.pdf
Clustering-based binarization methods applied to the crow search algorithm for 0_1 combinatorial problems.pdf Open
results