2021年最新SCI期刊影响因子查询系统
Swarm and Evolutionary Computation 期刊详细信息
基本信息
期刊名称 | Swarm and Evolutionary Computation Swarm and Evolutionary Computation |
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期刊ISSN | 2210-6502 |
期刊官方网站 | http://www.journals.elsevier.com/swarm-and-evolutionary-computation/ |
是否OA | 否 |
出版商 | Elsevier BV |
出版周期 | |
始发年份 | |
年文章数 | 101 |
最新影响因子 | 10.267(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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工程技术2区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能2区 | 是 | 否 |
COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法1区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 7.73 | 1.278 | 2.841 |
Mathematics General Mathematics |
2 / 339 | 99% |
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Computer Science General Computer Science |
4 / 204 | 98% |
补充信息
自引率 | 15.20% |
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H-index | 30 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | |
网友分享审稿时间 | 数据统计中,敬请期待。 |
PubMed Central (PML) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2210-6502%5BISSN%5D |
投稿指南
期刊投稿网址 | http://www.evise.com/evise/faces/pages/navigation/NavController.jspx?JRNL_ACR=SWEVO |
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收稿范围 | Introduction: To tackle complex real world problems, scientists have been looking into natural processes and creatures - both as model and metaphor - for years. Optimization is at the heart of many natural processes including Darwinian evolution, social group behavior and foraging strategies. Over the last few decades, there has been remarkable growth in the field of nature-inspired search and optimization algorithms. Currently these techniques are applied to a variety of problems, ranging from scientific research to industry and commerce. The two main families of algorithms that primarily constitute this field today are the evolutionary computing methods and the swarm intelligence algorithms. Although both families of algorithms are generally dedicated towards solving search and optimization problems, they are certainly not equivalent, and each has its own distinguishing features. Reinforcing each other's performance makes powerful hybrid algorithms capable of solving many intractable search and optimization problems. About the journal: Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications. Topics of Interest: Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization. Applications: Furthermore, the journal fosters industrial uptake by publishing interesting and novel applications in fields and industries dealing with challenging search and optimization problems from domains such as (but not limited to): Aerospace, Systems and Control, Robotics, Power Systems, Communication Engineering, Operations Research and Decision Sciences, Financial Services and Engineering, (Management) Information Systems, Business Intelligence, internet computing, Sensors, Image Processing, Computational Chemistry, Manufacturing, Structural and Mechanical Designs, Bioinformatics, Computational Biology, Mathematical and Computational Psychology, Cognitive Neuroscience, Brain-computer Interfacing, Future Computing Devices, Nonlinear statistical and Applied Physics, and Environmental Modeling and Software. |
收录体裁 | |
投稿指南 | https://www.elsevier.com/journals/swarm-and-evolutionary-computation/2210-6502/guide-for-authors |
投稿模板 | |
参考文献格式 | https://www.elsevier.com/journals/swarm-and-evolutionary-computation/2210-6502/guide-for-authors |
编辑信息 |