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- W2194709217 abstract "Recently, a novel type of evolutionary algorithms EAs, called Genetic Network Programming GNP, has been proposed. Inspired by the complex human brain structures, GNP develops a distinguished directed graph structure for its individual representations, consequently showing an excellent expressive ability for modelling a range of complex problems. This paper is dedicated to reveal GNP's unique features. Accordingly, simplified genetic operators are proposed to highlight such features of GNP, reduce its computational effort and provide better results. Experimental results are presented to confirm its effectiveness over original GNP and several state-of-the-art algorithms." @default.
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- W2194709217 date "2013-01-01" @default.
- W2194709217 modified "2023-09-28" @default.
- W2194709217 title "Genetic Network Programming with Simplified Genetic Operators" @default.
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- W2194709217 doi "https://doi.org/10.1007/978-3-642-42042-9_7" @default.
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