| 期刊ISSN: | 1063-6560 | ||
|---|---|---|---|
| E-ISSN: | 1530-9304 | 期刊级别: | |
| 影响因子: | 4.6 | 检索数据库: | |
| 自引率: | 6.5% | 出版语言: | 英文 |
| 出版信息 | |
|---|---|
| 出版社 | MIT Press Journals |
| 期刊官网 | http://www.mitpressjournals.org/loi/evco |
| 涉及的研究方向 | 计算机技术、计算机理论 |
| 年文章数 | 0 |
| 是否OA | 否 |
| APC费用 | |
| SCI期刊收录coverage | |
| 期刊简介 |
|---|
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Evolutionary Computation is a leading journal in its field. It provides an international forum for facilitating and enhancing the exchange of information among researchers involved in both the theoretical and practical aspects of computational systems drawing their inspiration from nature, with particular emphasis on evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems, evolutionary programming, and genetic programming. It welcomes articles from related fields such as swarm intelligence (e.g. Ant Colony Optimization and Particle Swarm Optimization), and other nature-inspired computation paradigms (e.g. Artificial Immune Systems). As well as publishing articles describing theoretical and/or experimental work, the journal also welcomes application-focused papers describing breakthrough results in an application domain or methodological papers where the specificities of the real-world problem led to significant algorithmic improvements that could possibly be generalized to other areas.
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| 最新中科院SCI期刊分区 (基础版) |
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| 最新中科院SCI期刊分区 (升级版) |
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| Cite Score相关 | ||||
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| Cite Score | Cite Score | SJR | SNIP | 排名 |
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