Memetic Computing SCIE
国际简称：MEMET COMPUT 参考译名：模因计算
主要研究方向：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-OPERATIONS RESEARCH & MANAGEMENT SCIENCE 非预警期刊 审稿周期：
《模因计算》(Memetic Computing)是一本由Springer Berlin Heidelberg出版的以COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-OPERATIONS RESEARCH & MANAGEMENT SCIENCE为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。该期刊享有很高的科学声誉，影响因子不断增加，发行量也同样高。
- 2区 中科院分区
- Q2 JCR分区
- 17 年发文量
- 3.3 IF影响因子
- 未开放 是否OA
- 26 H-index
- 2009 创刊年份
- 4 issues per year 出版周期
- English 出版语言
Memes have been defined as basic units of transferrable information that reside in the brain and are propagated across populations through the process of imitation. From an algorithmic point of view, memes have come to be regarded as building-blocks of prior knowledge, expressed in arbitrary computational representations (e.g., local search heuristics, fuzzy rules, neural models, etc.), that have been acquired through experience by a human or machine, and can be imitated (i.e., reused) across problems.
The Memetic Computing journal welcomes papers incorporating the aforementioned socio-cultural notion of memes into artificial systems, with particular emphasis on enhancing the efficacy of computational and artificial intelligence techniques for search, optimization, and machine learning through explicit prior knowledge incorporation. The goal of the journal is to thus be an outlet for high quality theoretical and applied research on hybrid, knowledge-driven computational approaches that may be characterized under any of the following categories of memetics:
Type 1: General-purpose algorithms integrated with human-crafted heuristics that capture some form of prior domain knowledge; e.g., traditional memetic algorithms hybridizing evolutionary global search with a problem-specific local search.
Type 2: Algorithms with the ability to automatically select, adapt, and reuse the most appropriate heuristics from a diverse pool of available choices; e.g., learning a mapping between global search operators and multiple local search schemes, given an optimization problem at hand.
Type 3: Algorithms that autonomously learn with experience, adaptively reusing data and/or machine learning models drawn from related problems as prior knowledge in new target tasks of interest; examples include, but are not limited to, transfer learning and optimization, multi-task learning and optimization, or any other multi-X evolutionary learning and optimization methodologies.
Memetic Computing期刊信息
- ISSN：1865-9284
- 出版语言：English
- 是否OA：未开放
- E-ISSN：1865-9292
- 出版地区：GERMANY
- 是否预警：否
- 出版商：Springer Berlin Heidelberg
- 出版周期：4 issues per year
- 创刊时间：2009
- 开源占比：0.0795
- Gold OA文章占比：8.64%
- OA被引用占比：0
- 出版国人文章占比：0.42
- 出版撤稿占比：0
- 研究类文章占比：100.00%
Memetic Computing CiteScore评价数据（2024年最新版）
| CiteScore | SJR | SNIP | CiteScore 指数 | ||||||||||||
| 6.8 | 0.945 | 1.1 |
|
名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量 注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。
Memetic Computing中科院评价数据
中科院 2023年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 计算机科学 | 2区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 2区 2区 |
中科院 2022年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 计算机科学 | 3区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 3区 3区 |
中科院 2021年12月旧的升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 计算机科学 | 3区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 3区 3区 |
中科院 2021年12月基础版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 工程技术 | 2区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 3区 3区 |
中科院 2021年12月升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 计算机科学 | 3区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 | 3区 3区 |
中科院 2020年12月旧的升级版
| Top期刊 | 综述期刊 | 大类学科 | 小类学科 | ||
| 否 | 否 | 计算机科学 | 3区 | OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 | 3区 4区 |
Memetic Computing JCR评价数据（2023-2024年最新版）
| 按JIF指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
| 学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | SCIE | Q2 | 82 / 197 |
58.6% |
| 学科：OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SCIE | Q2 | 32 / 106 |
70.3% |
| 按JCI指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
| 学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | SCIE | Q2 | 86 / 198 |
56.82% |
| 学科：OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SCIE | Q2 | 38 / 106 |
64.62% |
Memetic Computing历年数据统计
影响因子
中科院分区
Memetic Computing中国学者发文选摘
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1、An intelligent scheduling algorithm for complex manufacturing system simulation with frequent synchronizations in a cloud environment
Author: Feng Yao, Yiping Yao, Lining Xing, Huangke Chen, Zhongwei Lin, Tianlin Li
Journal: Memetic Computing, 2019, Vol., , DOI:10.1007/s12293-019-00284-3
-
2、Mathematical modeling and a discrete artificial bee colony algorithm for the welding shop scheduling problem
Author: Xinyu Li, Shengqiang Xiao, Cuiyu Wang, Jin Yi
Journal: Memetic Computing, 2019, Vol., , DOI:10.1007/s12293-019-00283-4
-
3、Project portfolio selection and scheduling under a fuzzy environment
Author: Xiaoxiong Zhang, Keith W. Hipel, Yuejin Tan
Journal: Memetic Computing, 2019, Vol., , DOI:10.1007/s12293-019-00282-5
-
4、A multi-level knee point based multi-objective evolutionary algorithm for AUC maximization
Author: Jianfeng Qiu, Minghui Liu, Lei Zhang, Wei Li, Fan Cheng
Journal: Memetic Computing, 2019, Vol., , DOI:10.1007/s12293-019-00280-7
-
5、DSM-DE: a differential evolution with dynamic speciation-based mutation for single-objective optimization
Author: Libao Deng, Lili Zhang, Haili Sun, Liyan Qiao
Journal: Memetic Computing, 2019, Vol., , DOI:10.1007/s12293-019-00279-0
-
6、Novel paralleled extreme learning machine networks for fault diagnosis of wind turbine drivetrain
Author: Xian-Bo Wang, Zhi-Xin Yang, Pak Kin Wong, Chao Deng
Journal: Memetic Computing, 2018, Vol., , DOI:10.1007/s12293-018-0277-2
-
7、An improved differential evolution algorithm for solving a distributed assembly flexible job shop scheduling problem
Author: Xiuli Wu, Xiajing Liu, Ning Zhao
Journal: Memetic Computing, 2018, Vol., , DOI:10.1007/s12293-018-00278-7
-
8、Improving artificial bee colony with one-position inheritance mechanism
Author: Xin Zhang, Shiu Yin Yuen
Journal: Memetic Computing, 2013, Vol.5, 187-211, DOI:10.1007/s12293-013-0117-3
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