The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

Nature-inspired metaheuristic algorithms have attracted much attention in the last decade,
and new algorithms have emerged almost every year with a vast, ever-expanding literature …

Real world problems are often of dynamic nature. They form a class of difficult problems that
metaheuristics try to solve at best. The goal is no longer to find an optimum for a defined …

In this work, we explore the idea that parameter setting of stochastic metaheuristics should
be considered as a multi-objective problem. The so-called" performance fronts" presented in …

Un objectif de cette thèse est de fournir des outils d'analyse, de conception et d'implantation
des approches métaheuristiques pour l'optimisation combinatoire en les formulant dans le …

This research focuses on the Hybrid Flow Shop production scheduling problem, which is
one of the most difficult problems to solve. The literature points to several studies that focus …

Résumé Depuis l'extraordinaire révolution technique de l'analogique vers le numérique à la
fin du 20, eme siècle, les documents numériques sont devenus de plus en plus utilisés à …

[ENG] Optimization problems arising from the biotechnological and food industries are
usually of non-convex nature and they often exhibit several local minima. Even though …

Optimization problems arising from the biotechnological and food industries are usually of
non-convex nature and they often exhibit several local minima. Even though advances in …

Most heuristics for discrete optimization problems consist of two phases: a greedy-based
construction phase followed by an improvement (local search) phase. Although the best …