This study presents a comprehensive evaluation of initial sampling techniques within the context of Bayesian Optimization (BO), a machine learning technique intended for the optimization of intricate and expensive functions. We assessed its efficacy in optimizing both theoretical benchmark...

Assessing the effects of the energy transition and liberalization of energy markets on resource adequacy is an increasingly important and demanding task. The rising complexity of energy systems requires adequate methods for energy system modeling leading to increased computational requirements....

Background: Despite the general impression that digital order-picking supportive technologies can manage a series of emerging challenges, there is still a very limited amount of research concerning the implementation and evaluation of such technologies in manual picker-to-goods order-picking...

Purpose: This paper aims to present how the project-based learning (PBL) methodology was implemented in the Faculty of Engineering of Mondragon Unibertsitatea in the second year of the Engineering in Industrial Organisation degree to help integrate statistical knowledge related to the design of...