Titlebook: Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence; 9th International Wo José Manuel Ferrández Vicente,José Ramón

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Europe—Japan: Strengthened Relationsnt systems, it is therefore important to develop appropriate emotion recognition models based on facial images. As a result of the high interest of the research and industrial community in this problem, many ready-to-use tools are being developed, which can be used via suitable web APIs. In this pap

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https://doi.org/10.1007/978-1-349-12081-9 years, the infrastructure used for solving these problems has evolved from clusters of physical machines to virtual resources in a Cloud based on Quality of Service requirements and pay-per-use basis. In these settings, the total execution time of the workflow, i.e., the makespan, is one of the mai

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https://doi.org/10.1007/978-981-99-1975-8st be distributed on the quantum computer over time, subject to a number of constraints. This process gives rise to the Quantum Circuit Compilation Problem (QCCP), which is in fact a hard scheduling problem. In this paper, we consider a compilation problem derived from the general Quantum Approximat

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https://doi.org/10.1007/978-981-99-1975-8 and modelled with intervals. Given the problem’s complexity, we tackle it using a metaheuristic approach. Specifically, we propose a novel Artificial Bee Colony algorithm incorporating three different selection mechanisms that help in guiding the search towards more promising areas. A parametric an

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