The Journal of Heuristics provides a forum for advancing the state-of-the-art in the theory and practical application of techniques for solving problems approximately that cannot be solved exactly. It fosters the development, understanding, and practical use of heuristic solution techniques for solving business, engineering, and societal problems. It considers the importance of theoretical, empirical, and experimental work related to the development of heuristics.
The journal presents practical applications, theoretical developments, decision analysis models that consider issues of rational decision making with limited information, artificial intelligence-based heuristics applied to a wide variety of problems, learning paradigms, and computational experimentation.
Officially cited as: J Heuristics
Provides a forum for advancing the state-of-the-art in the theory and practical application of techniques for solving problems approximately that cannot be solved exactly.
Fosters the development, understanding, and practical use of heuristic solution techniques for solving business, engineering, and societal problems.
Considers the importance of theoretical, empirical, and experimental work related to the development of heuristics.
《JOURNAL OF HEURISTICS》期刊已被查看: 次
此期刊被最新的JCR期刊SCIE收录
期刊官网:https://www.springer.com/10732 |
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期刊投稿网址:https://www.springer.com/41639 |
PubMed Central (PMC)链接 :http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1381-1231%5BISSN%5D |
通讯地:SPRINGER, VAN GODEWIJCKSTRAAT 30, DORDRECHT, NETHERLANDS, 3311 GZ |
中国科学院《国际期刊预警名单(试行)》名单 |
2024年02月发布的2024版:不在预警名单中 2023年01月发布的2023版:不在预警名单中 2021年12月发布的2021版:不在预警名单中 2020年12月发布的2020版:不在预警名单中 此期刊被最新的JCR期刊SCIE收录 |
版面费 | 审稿速度 | 收录数据库 | 是否oa | 研究方向 |
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>12周,或约稿 | SCIE,Scopus | No | 工程技术-计算机:理论方法 |
大类学科 | 分区 | 小类学科 | Top期刊 | 综述期刊 |
---|---|---|---|---|
计算机科学 | 4区 | COMPUTER SCIENCE THEORY & METHODS 计算机:理论方法 COMPUTER SCIENCE ARTIFICIAL INTELLIGENCE 计算机:人工智能 |
否 | 否 |
版本 | 按学科 | 分区 | 影响因子 |
---|---|---|---|
2023-2024年最新版 | COMPUTER SCIENCE ARTIFICIAL INTELLIGENCE COMPUTER SCIENCE THEORY & METHODS |
Q3 | 1.1 |
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