This chapter describes various approaches to the use of evolutionary algorithms and other
metaheuristics in interactive multiobjective optimization. We distinguish the traditional …

Classical evolutionary multi-objective optimization algorithms aim at finding an
approximation of the entire set of Pareto optimal solutions. By considering the preferences of …

We discuss some pros and cons of using different types of multiobjective optimization
methods for demanding real-life problems like continuous casting of steel. In particular, we …

Evolutionary algorithms (EAs) are population based approaches that start with an initial
population of candidate solutions and evolve them over a number of generations to finally …

This chapter discusses challenges and possibilities involved in preserving biological
diversity and the diversity of ecosystem services in the boreal zone and yet at the same time …

Problems in chemical engineering, like most real-world optimization problems, typically,
have several conflicting performance criteria or objectives and they often are …

We study in this paper the generation of the Choquet optimal solutions of biobjective
combinatorial optimization problems. Choquet optimal solutions are solutions that optimize a …

Abstract [eng] Interactive methods of multiobjective optimization repetitively derive Pareto
optimal solutions based on decision maker's preference information and present the …

Combinatorial optimization problems are ubiquitous in our society. They appear in many
applications: production, scheduling, logistics, timetables design, transport, and more …

Esta tesis se enmarca en el campo de las Operaciones, un área de las Ciencias de la
Administración. El objetivo es el desarrollo y la validación de herramientas tecnológicas …