A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …

Purpose The purpose of this paper is to contribute to the understanding of complexity and its
management from an OM perspective, building on and extending the systematic literature …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

Global urbanization is exerting severe stress and having far-reaching impacts on the eco-
environment, and yet there exists a complex non-linear coupling relationship between the …

Project portfolio management (PPM) is a commonly employed technique to align a project
portfolio with strategic goals. Prior research has mainly regarded PPM as a methodology to …

In this paper, we have formulated quantum beetle antennae search (QBAS), a meta-heuristic
optimization algorithm, and a variant of beetle antennae search (BAS). We apply it to …

The interest about hybrid optimization methods has grown for the last few years. Indeed,
more and more papers about cooperation between heuristics and exact techniques are …

In this paper we provide a review of the current state of research on Portfolio Management
with the support of Multiobjective Evolutionary Algorithms (MOEAs). Second we present a …

Any organization is routinely faced with the need to make decisions regarding the selection
and scheduling of project portfolios from a set of candidate projects. We propose a …

Portfolio decision analysis (PDA) refers to the body of theory, methods and practice which
support decision makers in making informed multiple selections from a set of alternatives …