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Genetic Programming and Evolvable Machines

來源: 樹人論文網 瀏覽次數:208次
周期:Quarterly
ISSN:1389-2576
影響因子:1.333
是否開源:No
年文章量:15
錄用比:容易
學科方向:計算機:人工智能
研究方向:工程技術
通訊地址:SPRINGER, 233 SPRING ST, NEW YORK, USA, NY, 10013
官網地址:http://www.springer.com/computer/ai/journal/10710
投稿地址:https://www.editorialmanager.com/genp/default.aspx
網友分享經驗:>12周,或約稿

Genetic Programming and Evolvable Machines雜志中文介紹

有源元件的人工進化方法是自適應計算和自適應工程的快速發展。他們需要發展、評估和應用反映新達爾文主義進化過程的方法。遺傳編程和可進化機器報告了軟件和硬件自動進化的創新和重大進展。它以理論和應用論文為特色,涵蓋硬件實現、人工生命、分子計算和緊急計算技術。除了其主要主題外,該雜志還涵蓋了相關主題,如具有可變基因組的進化算法、程序誘導的替代方法、基于胚胎學的工程系統開發方法、形態發生或其他受適應性自然系統啟發的技術。

Genetic Programming and Evolvable Machines雜志英文介紹

Methods for artificial evolution of active components are rapidly developing branches of adaptive computation and adaptive engineering. They entail the development, evaluation and application of methods that mirror the process of neo-Darwinian evolution. Genetic Programming and Evolvable Machines reports innovative and significant progress in automatic evolution of software and hardware. It features both theoretical and application papers and covers hardware implementations, artificial life, molecular computing and emergent computation techniques.In addition to its main topics, the journal covers related topics such as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.

Genetic Programming and Evolvable Machines影響因子

計算機:人工智能領域相關期刊