Titlebook: Genetic Programming Theory and Practice X; Rick Riolo,Ekaterina Vladislavleva,Jason H. Moore Book 2013 Springer Science+Business Media New

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Cartesian Genetic Programming for Image Processing, image processing. We successfully demonstrate our new approach on several different problem domains. We show that the approach is fast, scalable and robust. In addition, by virtue of using off-the-shelf image processing libraries we can generate human readable programs that incorporate sophisticated domain knowledge.

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一罵死割除

A Framework for the Empirical Analysis of Genetic Programming System Performance,nd . algorithms and heuristics and their interaction with problems of varying difficulty. Following an approach where scientific claims are broken down to testable statistical hypotheses and . runs are treated as experiments, the framework helps to achieve statistically verified results of high reproducibility.

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More or Less? Two Approaches to Evolving Game-Playing Strategies, the other infusing the evolutionary setup with expertise in the form of domain heuristics. We show that the first approach works well for several popular board games, while the second produces top-notch solvers for the hard game of FreeCell.

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FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud, have the properties of elasticity and robustness required to run well on the cloud. We present a prototyped design for a decentralized, heterogeneous, robust, self-scaling, self-factoring, self-aggregating genetic programming algorithm. We investigate its properties using a software “sandbox”.

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調(diào)色板

978-1-4939-0068-8Springer Science+Business Media New York 2013

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臨時(shí)抱佛腳

Versuchsanordnung und Datenerhebung,hods such as genetic programming have previously been applied to several aspects of the problem of discovering knowledge in databases. The more specific task of producing human-comprehensible SQL queries has several potential applications but has thus far been explored only to a limited extent. In t

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