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Titlebook: Genetic Programming; 19th European Confer Malcolm I. Heywood,James McDermott,Kevin Sim Conference proceedings 2016 Springer International P

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Scheduling in Heterogeneous Networks Using Grammar-Based Genetic Programminglises well with respect to dynamic traffic and variable cell placement. Superior results are achieved relative to a benchmark scheme from the literature, illustrating an opportunity for the further use of Genetic Programming in software-defined autonomic wireless communications networks.
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Towards Automated Strategies in Satisfiability Modulo Theorysent a first attempt for generating an automatic selection of heuristics in order to improve SMT solver efficiency and to allow end-users to take better advantage of solvers when unknown problems are faced. Evidence of improvement is shown and the basis for future works with evolutionary and/or learning-based algorithms are raised.
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A Genetic Programming Approach for the Traffic Signal Control Problem with Epigenetic Modificationsproperties such as phenotype differentiation, memory consolidation within generations and environmentally-induced change in behavior provided by the epigenetic mechanism. The method can be extended to other dynamic environments.
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978-3-319-30667-4Springer International Publishing Switzerland 2016
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