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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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樓主: 短暫
21#
發(fā)表于 2025-3-25 05:07:17 | 只看該作者
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.
22#
發(fā)表于 2025-3-25 10:46:22 | 只看該作者
23#
發(fā)表于 2025-3-25 12:45:07 | 只看該作者
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.
24#
發(fā)表于 2025-3-25 18:31:18 | 只看該作者
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.
25#
發(fā)表于 2025-3-25 23:24:19 | 只看該作者
26#
發(fā)表于 2025-3-26 01:58:51 | 只看該作者
978-3-319-30667-4Springer International Publishing Switzerland 2016
27#
發(fā)表于 2025-3-26 05:53:42 | 只看該作者
28#
發(fā)表于 2025-3-26 09:55:25 | 只看該作者
29#
發(fā)表于 2025-3-26 13:07:23 | 只看該作者
30#
發(fā)表于 2025-3-26 17:02:52 | 只看該作者
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