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Titlebook: Applications of Evolutionary Computation; 23rd European Confer Pedro A. Castillo,Juan Luis Jiménez Laredo,Francis Conference proceedings 20

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Acceptance and Commitment Therapyon of dynamical systems which is based on matrix multiplication. That is similar to how an artificial neural network (ANN) is represented in a deep learning library and its computation can be faster because of the optimized matrix operations that such type of libraries have. Initially, we implement
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David T. Albee,Meredith Rucker Hunteric or behaviour analysis of ransomware, hence known as behaviour-based detection models. A big challenge in automated behaviour-based ransomware detection and classification is high dimensional data with numerous features distributed into various groups. Feature selection algorithms usually help to
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https://doi.org/10.1007/978-3-030-22009-9lobal optima. The proposed complexity method provides a partial answer to this question in the form of the estimated sample size needed to sample all basins of attraction of all global optima at least once. The rationale behind the approach is that, in optimization, in order to locate all possible o
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Acceptance and Commitment Therapyf such variables make them statically indeterminate, meaning that a change in one design variable affects the response of the entire structure. This property makes the design of cable-stayed bridges a complex optimization problem. In this work, we use a Genetic Algorithm to evolve solutions for this
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Håkan Jönson,Annika Taghizadeh Larssoniverse performance requirements on a common substrate platform. Of particular interest among different facets of network slicing is the problem of designing an individual network slice tailored specifically to match the requirements of the big-bandwidth next generation network services. In this work
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Accessible or Adaptable Housingdule, different robotic structures with better performance for a given task can be found. In this paper, we modify the modules of a modular robot platform, the EMERGE modular robot, in two different ways: changing the length of the module and changing the shape of the starting module (base). We use
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