most citedPSO and the Traveling Salesman Problem: An Intelligent Optimization Approach

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.NE2025★ 3 cited

PSO and the Traveling Salesman Problem: An Intelligent Optimization Approach

Kael Silva Araújo, Francisco Márcio Barboza

The Traveling Salesman Problem (TSP) is a well-known combinatorial optimization problem that aims to find the shortest possible route that visits each city exactly once and returns…

math.NA2025

The Mean Value Theorem: Analytical Proof and Computational Approaches

Márcio Matheus de Lima Barboza, Francisco Márcio Barboza

In this paper, we explore two fundamental theorems of differential calculus: Rolle's Theorem and the Mean Value Theorem (MVT). These theorems play a crucial role in the development…

math.NA2024★ 1 cited

Newton's Method Applied to Nonlinear Boundary Value Problems: A Numerical Approach

Rusdrael Antony de Araújo Freire, Francisco Márcio Barboza, Márcio Matheus de Lima Barboza

This work investigates the application of the Newton's method for the numerical solution of a nonlinear boundary value problem formulated through an ordinary differential equation…

physics.geo-ph2024

2D Basement Relief Inversion using Sparse Regularization

Francisco Márcio Barboza, Arthur Anthony da Cunha Romão E Silva, Bruno Motta de Carvalho

Basement relief gravimetry is crucial in geophysics, especially for oil exploration and mineral prospecting. It involves solving an inverse problem to infer geological model parame…

math.OC2024

Noise Removal in One-Dimensional Signals using Iterative Shrinkage Total Variation Algorithm

Joyce Oliveira dos Santos, Francisco Márcio Barboza

The total variation filtering technique emerges as a highly effective strategy for restoring signals with discontinuities in various parts of their structure. This study presents a…

math.OC2024

Practical Applications of Unidimensional Optimization Using Octave

Erick Clapton de Lima Silva, Francisco Márcio Barboza

This paper suggests integrating one-dimensional optimization methods to tackle diverse problems, emphasizing their significance in resolving practical issues and applying mathemati…