In this study, we proposed a new objective criteria weighting method simultaneously
addressing standard deviations, correlation coefficients and robustness of ranking. The …

Portfolio Optimization deals with identifying a set of capital assets and their respective
weights of allocation, which optimizes the risk-return pairs. Optimizing a portfolio is a …

To facilitate the project portfolio benefits (PPB) management and realize the maximization of
the benefits, a PPB measurement model based on the genetic algorithm (GA)-BP neural …

Despite the vast research on many-objective optimisation problems, the presence of many
objective functions is still a challenge worthy of further study. A way to treat this kind of …

Given a finite set of alternatives, the ranking problem statement builds a preference pre-
order (partial or complete) on this set. In this paper, we are interested in multiple criteria …

Many-objective optimization is an area of interest common to researchers, professionals,
and practitioners because of its real-world implications. Preference incorporation into Multi …

In this paper, we enriched Ant Colony Optimization (ACO) with interval outranking to develop
a novel multi-objective ACO optimizer to approach problems with many objective functions …

The majority of the swarm UAV studies focus on a single aspect, only investigating the
stages such as formation development, path planning, or target tracking for a swarm …

One of the main challenges in applying preference-based approaches to many-objective
optimization problems is that decision makers (DMs) initially have only a vague notion of the …

Studies enabled by metabolic models of different species of microalgae have become
significant since they allow us to understand changes in their metabolism and physiological …