We present a framework for multi-objective optimization where the classical mean-variance portfolio model is extended to integrate the environmental, social and governance (ESG) criteria on the same playing field as risk and return and, at the same time, to reflect the investors' preferences in...

This study optimizes and evaluates a Photovoltaic-Wind-Battery/Electric Vehicle Charging Station (PVWB/EVCS) system using four Multi-Objective Optimization (MOO) techniques: MOPSO, NSGAII, NSGAIII, and MOEA/D. The main goals are to minimize the Total Net Present Cost (TNPC) and Loss of Power...

The hyper-targeted advertising that emerged on digital platforms over the past two decades is now more productively understood as tuned advertising, a dynamic and unfolding process where ads are continuously algorithmically "optimised" to users in real time. Following Rieder and Hofmann (2020),...

The paper contributes to the further development of platform studies by looking at the early stages of development. It draws on insights from an exemplary research and innovation project that aimed to develop a "diversity-aware online social platform". The article takes a co- productive stance....