Search

Clóvis Caesar Gonzaga, a renowned figure in interior point methods, made significant contributions to the field of operational research. His analysis of path following methods in linear programming, presented in the late 1980s, remains the best complexity bound in the field. Born in Brazil in 1944, Gonzaga obtained degrees in electronic engineering and systems engineering and computer science. He held various academic positions, including professorships at COPPE UFRJ and UFSC. Gonzaga's work revolutionized the optimization community worldwide, and his legacy continues to inspire researchers in Brazil and beyond. [Extracted from the article]

In this work, we propose integral global optimality conditions for multiobjective problems not necessarily differentiable. The integral characterization, already known for single objective problems, are extended to multiobjective problems by weighted sum and Chebyshev weighted scalarizations. Using this last scalarization, we propose an algorithm for obtaining an approximation of the weak Pareto front whose effectiveness is illustrated by solving a collection of multiobjective test problems. [ABSTRACT FROM AUTHOR]