Titlebook: Genetic Programming Theory and Practice XIV; Rick Riolo,Bill Worzel,Bill Tozier Book 2018 Springer Nature Switzerland AG 2018 Genetic prog

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Horst Treiblmaier,Hans Robert Hansenchniques have been proposed for combating premature convergence and improving search efficiency in genetic programming. Recent research has shown that while genetic diversity is important, focusing directly on sustaining behavioral diversity may be more beneficial. These two related areas have recei

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https://doi.org/10.1007/978-3-662-62987-1volutionary algorithm for anticipating tax evasion in the domain of U.S. Partnership tax regulations. A problem in tax auditing is that as soon as one evasion scheme is detected a new, slightly mutated, variant of that scheme appears. Multi-population competitive coevolutionary algorithms are dispos

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Abweichendes Verhalten in Computernetzen,r examining the issue of .. We develop herein a game controller that mimics human learning behavior, focusing on the ability to generalize from experience and diminish learning time as . games present themselves. We use genetic programming to evolve hyper-heuristic-based general players. Our results

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https://doi.org/10.1007/978-3-658-35967-6vor of focusing on the final outcomes, typically captured and presented in the form of summary statistics and performance plots. Here we use graph database tools to store every parent–child relationship in a single genetic programming run, and examine the key ancestries in detail, tracing back from

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