Titlebook: Genetic Programming; 18th European Confer Penousal Machado,Malcolm I. Heywood,Kevin Sim Conference proceedings 2015 Springer International

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書(shū)目名稱(chēng)Genetic Programming影響因子(影響力)




書(shū)目名稱(chēng)Genetic Programming影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Genetic Programming網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Genetic Programming網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Genetic Programming被引頻次




書(shū)目名稱(chēng)Genetic Programming被引頻次學(xué)科排名




書(shū)目名稱(chēng)Genetic Programming年度引用




書(shū)目名稱(chēng)Genetic Programming年度引用學(xué)科排名




書(shū)目名稱(chēng)Genetic Programming讀者反饋




書(shū)目名稱(chēng)Genetic Programming讀者反饋學(xué)科排名

FAWN

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Automatic Derivation of Search Objectives for Test-Based Genetic Programmingpassed. We posit that scrutinizing the outcomes of programs’ interactions with individual tests may help making program synthesis more effective. To this aim, we propose DOC, a method that autonomously derives new search objectives by clustering the outcomes of interactions between programs in the p

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Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulationder to improve the time consuming evaluation of candidate solutions, a discrete event-driven simulator was introduced. The proposed simulator operates on multiple logic levels to achieve reasonable trade-off between performance and precision. A suitable level of abstraction reflecting the behaviour

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Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function grammars (AG). We discuss the motivations behind our system design, from its use of shared memory spaces for attribute storage to the use of a dynamically type programming language, Python, to specify grammar semantics..After a brief analysis of some of the existing GE AG system we outline two sets

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Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programsor (TOV) evaluations, needed to obtain a satisfactory solution, to reduce the computational cost of evolution. This paper introduces the use of coevolution of fitness predictors in CGP with a new type of indirectly encoded predictors. Indirectly encoded predictors are operated using the CGP and prov