Browsing by Keyword "Taxonomy"
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Item Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations(2020-09-01) Molina, Daniel; Poyatos, Javier; Ser, Javier Del; García, Salvador; Hussain, Amir; Herrera, Francisco; IAIn recent algorithmic family simulates different biological processes observed in Nature in order to efficiently address complex optimization problems. In the last years the number of bio-inspired optimization approaches in literature has grown considerably, reaching unprecedented levels that dark the future prospects of this field of research. This paper addresses this problem by proposing two comprehensive, principle-based taxonomies that allow researchers to organize existing and future algorithmic developments into well-defined categories, considering two different criteria: the source of inspiration and the behavior of each algorithm. Using these taxonomies we review more than three hundred publications dealing with nature-inspired and bio-inspired algorithms, and proposals falling within each of these categories are examined, leading to a critical summary of design trends and similarities between them, and the identification of the most similar classical algorithm for each reviewed paper. From our analysis we conclude that a poor relationship is often found between the natural inspiration of an algorithm and its behavior. Furthermore, similarities in terms of behavior between different algorithms are greater than what is claimed in their public disclosure: specifically, we show that more than one-third of the reviewed bio-inspired solvers are versions of classical algorithms. Grounded on the conclusions of our critical analysis, we give several recommendations and points of improvement for better methodological practices in this active and growing research field.Item A taxonomy of models for investigating hydrogen energy systems(2022-10) Blanco, Herib; Leaver, Jonathan; Dodds, Paul E.; Dickinson, Robert; García-Gusano, Diego; Iribarren, Diego; Lind, Arne; Wang, Changlong; Danebergs, Janis; Baumann, Martin; PLANIFICACIÓN ENERGÉTICAHydrogen can serve multiple purposes within the energy system, from flexibility provider, to decarbonizing hard-to-abate sectors, to chemical feedstock. A range of model paradigms have been developed to assess the potential for hydrogen energy systems while accounting for the unique characteristics of hydrogen. This study proposes a taxonomy to classify models of hydrogen energy systems. The taxonomy is based on a review of 29 studies that proposed a taxonomy for energy models in general. This review identified 124 categories that are commonly used to map models, which were grouped into six major categories. This general taxonomy was then adapted to hydrogen, leaving only 32 categories in four major categories. Nine hydrogen archetypes that cover the entire spectrum of studies of hydrogen energy systems were identified. Each of these archetypes was mapped against the categories defined which allowed identifying common gaps across archetypes and degree of interrelationship between them. The environmental and high spatial resolution aspects are only covered by one archetype. The correlation between archetypes assessed in this study can be used to identify opportunities for soft-linking. All the archetypes provide partial answers and using a modeling suite composed of various models could address shortcomings of individual archetypes. All models have a strong focus on technology and costs, with other aspects such as the innovation cycle, market design and policy levers to promote deployment receiving little focus. Capturing these dynamics in the hydrogen archetypes would enable a more holistic analysis and would also facilitate subsequent action.