Computational finance is an emerging application field of metaheuristic algorithms. In
particular, these optimisation methods are becoming the solving approach alternative when …

The coinciding development of multiobjective evolutionary algorithms (MOEAs) and the
emergence of complex problem formulation in the finance and economics areas has led to a …

One of the central questions in supply chain design is how to properly invest in supply chain
capabilities in order to be more responsive to supply chain disruptions. This new perspective …

This study addresses one of the most challenging issues in designing a sustainable and
efficient ride-sharing service. This paper uses an extensive computational study to quantify …

This paper proposes a new approach to determining the Supply Chain (SC) design for a
family of products comprising complex hierarchies of subassemblies and components. For a …

With limited financial resources, decision-makers in firms and governments face the task of
selecting the best portfolio of projects to invest in. As the pool of project proposals increases …

A multiobjective binary integer programming model for R&D project portfolio selection with
competing objectives is developed when problem coefficients in both objective functions …

Decision makers usually have to face a budget and other type of constraints when they have
to decide which projects are going to be undertaken (to satisfy their requirements and …

A variable neighborhood search (VNS) algorithm has been developed to solve the multiple
objective redundancy allocation problems (MORAP). The single objective RAP is to select …

The problem of placing safety inventory over a network, which assembles a product, is a
challenging issue in supply chain design (SCD) because manufacturers always want to …