Optimization is a very broad field of research with a wide spectrum of important applications.
Until the 1950s, optimization was understood as a single-objective optimization, ie, as the …

Finite element modelling is performed to numerically predict the behaviour of civil
engineering structures. Due to the different assumptions adopted during the modelling …

The notion of Pareto optimality is commonly employed to formulate decisions that reconcile
the conflicting interests of multiple agents with possibly different risk preferences. In the …

Virtual products are characterized by ample production capacity, zero lead time, and no
holding costs. We consider a two-echelon supply chain of a virtual product, consisting of a …

The presented study deals with the scalarization techniques for solving multiobjective
optimization problems. The Pascoletti–Serafini scalarization technique is considered, and it …

Evolutionary game theory allows determining directly the solution of the maximum likelihood
finite element model updating problem via the transformation of a bi-objective optimization …

The main idea of this article is to characterize approximate proper efficiency that is a widely
used optimality concept in multicriteria optimization problems that prevents solutions having …

In this paper, we investigate the relationships between proper efficiency and the solutions of
a general scalarization problem in multi-objective optimization. We provide some conditions …

‎ In this paper‎,‎ we present an algorithm for generating approximate nondominated points of a
multiobjective optimization problem (MOP)‎,‎ where the constraints and the objective functions …

In this paper, we propose revisions of two existing scalarization approaches, namely the
feasible-value constraint and the weighted constraint. These methods do not easily provide …