Revista de Sistemas e Computação, vol. 10, no. 1, 2020 A. Imeri, N. Agoulmine, and D. Khadraoui

We present SmartCrowd, a framework for optimizing task assignment in knowledge-intensive crowdsourcing (KI-C). SmartCrowd distinguishes itself by formulating, for the first time, the problem of

Multi-objective constrained optimization problems which arise in many engineering fields often involve computationally expensive black-box model simulators of industrial processes which have to be

Missing data in river flow records represent a loss of information and a serious drawback in water management. An incomplete time series prevents the computation of hydrological statistics and

Aimed to facilitate a safe massive integration of renewable energy sources in electric power systems, this paper explores an emerging demand reduction flexibility option which exploits the

A static analysis of three-dimensional sandwich beam structures using one-dimensional modelling approach is presented within this paper. A family of several one-dimensional beam elements is obtained

In Waste Water Treatment Plants (WWTPs), the pump systems are one of the most energy intensive processes. An efficient energy management of pumps should produce environmental and economic benefits.

We report first-principles calculations for one of the few materials that is believed to be a ferroelectric ferromagnet, Bi2NiMnO6. Our calculations show that, contrary to what has been reported so

The paper is focused on the application of ABM (Agent Based Models) to simulate the evolution of the agricultural system of the Grand Duchy of Luxembourg, which aims at the evaluation of the

Many real-world multi-objective optimization (MOO) problems rely on computationally expensive simulators of industrial processes and require solutions within a limited time budget. In this context,