期刊名称 | Genetic Programming and Evolvable Machines GENET PROGRAM EVOL M |
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期刊ISSN | 1389-2576 |
期刊官方网站 | https://www.springer.com/10710 |
是否OA | No |
出版商 | Springer New York |
出版周期 | Quarterly |
文章处理费 | 登录后查看 |
始发年份 | 2000 |
年文章数 | 17 |
影响因子 | 1.7(2023) scijournal影响因子 greensci影响因子 |
大类学科 | 小类学科 | Top | 综述 |
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工程技术4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能4区 | 否 | 否 |
COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法4区 |
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 5.9 | 0.551 | 0.885 |
Mathematics Theoretical Computer Science |
31/130 | 76% |
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Computer Science Computer Science Applications |
252/817 | 69% |
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Computer Science Hardware and Architecture |
57/177 | 68% |
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Computer Science Software |
140/407 | 65% |
自引率 | 11.8% |
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H-index | 36 |
SCI收录状况 | Science Citation Index Expanded |
官方审稿时间 | 登录后查看 |
网友分享审稿时间 | 数据统计中,敬请期待。 |
接受率 | 登录后查看 |
PubMed Central (PMC) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1389-2576%5BISSN%5D |
期刊投稿网址 | https://www.editorialmanager.com/genp |
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收稿范围 | The journal of Genetic Programming and Evolvable Machines is devoted to reporting innovative and significant progress in automatic evolution of software and hardware. Methods for artificial evolution of active components, such as programs or machines, 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 and produce as a result computational expressions such as algorithms or machines such as mechanical or electronic devices that actively process environmental information and transform their environment. 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. Methods: Genetic Programming; Variable-size evolutionary algorithms; Induction of algorithms and symbolic expressions by iterative and non-deterministic search; Evolutionary design and Optimization of electronic circuits and mechanical devices; On-line adaptation of hardware and software; Evolutionary robotics; DNA computing; Coevolutionary techniques; Meta-learning; Hybrid systems; Cellular and Developmental approaches. Task Domains: Algorithm evolution; Agents; Architecture; Art and animation; Classification and pattern recognition; Computer graphics; Computing; Circuit design; Data mining; Distributed problem solving; Engineering design applications; Games; Hardware and software testing and verification; Image and signal processing; Interactive evolution; Molecular biology applications; Music; Natural language processing; Network routing; Optimization; Process control; Robotics and motor control; Self-repair; Self-reproduction of software and hardware, Self-programming; System modeling. Both theoretical papers (preferably including computer simulations) and application papers are welcome. Papers describing hardware implementations are strongly encouraged. Papers in the areas of artificial life, molecular computing and any other emergent computation technique will be considered as well. |
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投稿指南 | https://link.springer.com/journal/10710/submission-guidelines |
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