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Heuristics Considering UX and Quality Criteria for Heuristics [PDF]
International Journal of Interactive Multimedia and Artificial Intelligence, 2017 Heuristic evaluation is a cheap tool with which one can take qualitative measures of a product’s usability. However, since the methodology was first presented, the User Experience (UX) has become more popular but the heuristics have remained the same.
Schön, Eva-Maria +2 more
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Search Space Reduction for the Thermal Unit Commitment Problem through a Relevance Matrix
Energies, 2022 Given the combinatorial explosion related to the operation decisions in the thermal unit commitment problem, this paper presents a new strategy to reduce the search space and to start the multi-modal optimization process.
Layon Mescolin de Oliveira +2 more
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ANZ Journal of Surgery, 2008 Heuristics are rules of thumb. Rarely described in surgical or other publications, they are an essential part of safe and expert performance. This study translates such implicit or procedural knowledge into explicit or declarative knowledge, with a view to improving both training and retraining of surgeons in the steps of dissection. Tools used include
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Solving the Delay-Constrained Least-Cost routing problem using Tabu Search with Edge Betweenness [PDF]
E3S Web of Conferences, 2021 Multicast routing consists of concurrently sending the same information from a source to a subset of all possible destinations in a computer network thus becomes an important technology communication.
Boudjelida Amina, Lemouari Ali
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, 2009 Decision-making is one of the core tasks in project management. Traditionally, optimization methods have been developed to support managers in finding the best solutions. Alternatively, decisions can be based on simple rules of thumb, or heuristics. Even though simple heuristics only require little in the way of time and information, they have been ...
Scheibehenne, Benjamin +1 more
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Population Dynamics in Genetic Programming for Dynamic Symbolic Regression
Applied SciencesThis paper investigates the application of genetic programming (GP) for dynamic symbolic regression (SR), addressing the challenge of adapting machine learning models to evolving data in practical applications.
Philipp Fleck +2 more
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Bias and Variance Analysis of Contemporary Symbolic Regression Methods
Applied SciencesSymbolic regression is commonly used in domains where both high accuracy and interpretability of models is required. While symbolic regression is capable to produce highly accurate models, small changes in the training data might cause highly dissimilar ...
Lukas Kammerer +2 more
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Les ironies de (la) serendipity dans l’œuvre de Robert K. Merton
Temporalités, 2017 In what circumstances and why did Robert K. Merton hit up against the idea of serendipity? What place does it occupy in his work? This article proposes to retrace step by step the history of that encounter, which lacks neither irony nor piquant.
Arnaud Saint-Martin
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Frontiers in Energy Research, 2022 A pervasive sense of dissatisfaction is driving an unstoppable longing for materialistic things, resulting in anthropogenic disruptions of the earth’s natural systems.
Atanu Sarkar
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