ROBERTO RONCO

In recent years sustainability in manufacturing has become a fundamental topic in the scientific literature. Several authors highlighted the preeminent role of manufacturing industry in total world energy consumption and carbon emission (Garetti and Taisch, 2012; Liu et al., 2014), which in turn is the primary cause for triggering the...

The efficacy of Hyper-Heuristics in tackling NP-hard Combinatorial Optimization problems has been widely shown by the extensive literature on the topic [1] [2]. Moreover, the recent successful results in Deep Reinforcement Learning research (see [3] for a thorough overview) lead to the idea of applying such methodologies in an online...

In the latest years, energy-efficient scheduling has become an increasingly compelling and relevant matter due to both the rising global pollution levels and the growing interest of the industry towards sustainable manufacturing [1]. Specifically, many efforts have been devoted towards scheduling with the Time-of-Use (TOU) energy...

The Automatic Scene Detection Problem (ASDP) is a combinatorial optimization problem that arises in the context of video processing and that has a central role in the management, storing and content retrieval of videos. The problem consists of partitioning the shots of a given video into scenes by optimizing a measure related to the similarity...