Swarm and Evolutionary Computation

Swarm and Evolutionary Computation(英文缩写 SWARM EVOL COMPUT),ISSN 2210-6502,eISSN 2210-6510 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

发文量统计区间：2025-09-21 至 2026-09-21，按本站收录文献的发表日期统计。

指标来源：jcr_cas_ifqb

历年影响因子趋势

Swarm and Evolutionary Computation 最新收录文献

1. JCR分区: Q1 CAS分区: B2 影响因子: 9.6

   1. Integration of machine learning prediction and heuristic optimization for mask delivery in COVID-19.

   PMID:

   36415587

   作者:

   Xin Chen, Hong-Fang Yan, Yu-Jun Zheng, Mumtaz Karatas

   期刊:

   Swarm and evolutionary computation PubMed

   DOI:

   10.1016/j.swevo.2022.101208

   日期:

   2023-02-01

   The novel coronavirus pneumonia (COVID-19) has created huge demands for medical masks that need to be delivered to a lot of demand points to protect citizens. The efficiency of delivery is critical to the prevention and control of the epidemic. However, the huge demands for masks and massive number …

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2. JCR分区: Q1 CAS分区: B2 影响因子: 9.6

   2. Artificial infectious disease optimization: A SEIQR epidemic dynamic model-based function optimization algorithm.

   PMID:

   32288989

   作者:

   Guangqiu Huang

   期刊:

   Swarm and evolutionary computation PubMed

   DOI:

   10.1016/j.swevo.2015.09.007

   日期:

   2016-04-01

   To solve some complicated function optimization problems, an artificial infectious disease optimization algorithm based on the SEIQR epidemic model is constructed, it is called as the SEIQR algorithm, or SEIQRA in short. The algorithm supposes that some human individuals exist in an ecosystem; each …

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3. JCR分区: Q1 CAS分区: B2 影响因子: 9.6

   3. Using Animal Instincts to Design Efficient Biomedical Studies via Particle Swarm Optimization.

   PMID:

   25285268

   作者:

   Jiaheng Qiu, Ray-Bing Chen, Weichung Wang, Weng Kee Wong

   期刊:

   Swarm and evolutionary computation PubMed

   DOI:

   10.1016/j.swevo.2014.06.003

   日期:

   2014-10-01

   Particle swarm optimization (PSO) is an increasingly popular metaheuristic algorithm for solving complex optimization problems. Its popularity is due to its repeated successes in finding an optimum or a near optimal solution for problems in many applied disciplines. The algorithm makes no assumption…

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4. JCR分区: Q1 CAS分区: B2 影响因子: 9.6

   4. A new PSO-optimized geometry of spatial and spatio-temporal scan statistics for disease outbreak detection.

   PMID:

   32288990

   作者:

   Hesam Izakian, Witold Pedrycz

   期刊:

   Swarm and evolutionary computation PubMed

   DOI:

   10.1016/j.swevo.2012.02.001

   日期:

   2012-06-01

   The spatial and spatio-temporal scan statistics proposed by Kulldorff have been applied to a number of geographical disease cluster detection problems. As the shape of the scanning window used in these methods is circular or elliptic, they cannot find irregularly shaped clusters, say clusters occurr…

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