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Swarm And Evolutionary Computation

Swarm And Evolutionary ComputationSCIE

國際簡稱：SWARM EVOL COMPUT  參考譯名：群體和進化計算

  • 中科院分區(qū)

    1區(qū)

  • CiteScore分區(qū)

    Q1

  • JCR分區(qū)

    Q1

基本信息：
ISSN：2210-6502
E-ISSN：2210-6510
是否OA：未開放
是否預警：否
TOP期刊：是
出版信息：
出版地區(qū)：NETHERLANDS
出版商：Elsevier BV
出版語言：English
出版周期：6 issues/year
出版年份：2011
研究方向：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, THEORY & METHODS
評價信息：
影響因子：8.2
H-index：43
CiteScore指數(shù)：16
SJR指數(shù)：2.266
SNIP指數(shù)：2.352
發(fā)文數(shù)據(jù)：
Gold OA文章占比：5.86%
研究類文章占比：100.00%
年發(fā)文量：163
自引率：0.12
開源占比：0.0387
出版撤稿占比：
出版國人文章占比：0
OA被引用占比：0.0269...
英文簡介 期刊介紹 CiteScore數(shù)據(jù) 中科院SCI分區(qū) JCR分區(qū) 發(fā)文數(shù)據(jù) 常見問題

英文簡介Swarm And Evolutionary Computation期刊介紹

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 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.

期刊簡介Swarm And Evolutionary Computation期刊介紹

《Swarm And Evolutionary Computation》自2011出版以來，是一本計算機科學優(yōu)秀雜志。致力于發(fā)表原創(chuàng)科學研究結果，并為計算機科學各個領域的原創(chuàng)研究提供一個展示平臺，以促進計算機科學領域的的進步。該刊鼓勵先進的、清晰的闡述，從廣泛的視角提供當前感興趣的研究主題的新見解，或審查多年來某個重要領域的所有重要發(fā)展。該期刊特色在于及時報道計算機科學領域的最新進展和新發(fā)現(xiàn)新突破等。該刊近一年未被列入預警期刊名單，目前已被權威數(shù)據(jù)庫SCIE收錄，得到了廣泛的認可。

該期刊投稿重要關注點：

Cite Score數(shù)據(jù)（2024年最新版）Swarm And Evolutionary Computation Cite Score數(shù)據(jù)

  • CiteScore：16
  • SJR：2.266
  • SNIP：2.352
學科類別 分區(qū) 排名 百分位
大類：Mathematics 小類：General Mathematics Q1 3 / 399

99%
大類：Mathematics 小類：General Computer Science Q1 11 / 232

95%

CiteScore 是由Elsevier(愛思唯爾)推出的另一種評價期刊影響力的文獻計量指標。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫中收集的引文為基礎，針對的是前四年發(fā)表的論文的引文。CiteScore的意義在于，它可以為學術界提供一種新的、更全面、更客觀地評價期刊影響力的方法，而不僅僅是通過影響因子(IF)這一單一指標來評價。

歷年Cite Score趨勢圖

中科院SCI分區(qū)Swarm And Evolutionary Computation 中科院分區(qū)

中科院 2023年12月升級版 綜述期刊：否 Top期刊：否
大類學科 分區(qū) 小類學科 分區(qū)
計算機科學 1區(qū) COMPUTER SCIENCE, THEORY & METHODS 計算機：理論方法 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機：人工智能 1區(qū) 2區(qū)

中科院分區(qū)表 是以客觀數(shù)據(jù)為基礎，運用科學計量學方法對國際、國內學術期刊依據(jù)影響力進行等級劃分的期刊評價標準。它為我國科研、教育機構的管理人員、科研工作者提供了一份評價國際學術期刊影響力的參考數(shù)據(jù)，得到了全國各地高校、科研機構的廣泛認可。

中科院分區(qū)表 將所有期刊按照一定指標劃分為1區(qū)、2區(qū)、3區(qū)、4區(qū)四個層次，類似于“優(yōu)、良、及格”等。最開始，這個分區(qū)只是為了方便圖書管理及圖書情報領域的研究和期刊評估。之后中科院分區(qū)逐步發(fā)展成為了一種評價學術期刊質量的重要工具。

歷年中科院分區(qū)趨勢圖

JCR分區(qū)Swarm And Evolutionary Computation JCR分區(qū)

2023-2024 年最新版
按JIF指標學科分區(qū) 收錄子集 分區(qū) 排名 百分位
學科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q1 19 / 197

90.6%
學科：COMPUTER SCIENCE, THEORY & METHODS SCIE Q1 9 / 143

94.1%
按JCI指標學科分區(qū) 收錄子集 分區(qū) 排名 百分位
學科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q1 19 / 198

90.66%
學科：COMPUTER SCIENCE, THEORY & METHODS SCIE Q1 9 / 143

94.06%

JCR分區(qū)的優(yōu)勢在于它可以幫助讀者對學術文獻質量進行評估。不同學科的文章引用量可能存在較大的差異，此時單獨依靠影響因子(IF)評價期刊的質量可能是存在一定問題的。因此，JCR將期刊按照學科門類和影響因子分為不同的分區(qū)，這樣讀者可以根據(jù)自己的研究領域和需求選擇合適的期刊。

歷年影響因子趨勢圖

本刊中國學者近年發(fā)表論文

  • 1、An efficient Bayesian network structure learning algorithm based on structural information

    Author: Fang, Wei; Zhang, Weijian; Ma, Li; Wu, Yunlin; Yan, Kefei; Lu, Hengyang; Sun, Jun; Wu, Xiaojun; Yuan, Bo

    Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 76, Issue , pp. -. DOI: 10.1016/j.swevo.2022.101224

  • 2、Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO

    Author: Wu, Xuan; Han, Jizong; Wang, Di; Gao, Pengyue; Cui, Quanlong; Chen, Liang; Liang, Yanchun; Huang, Han; Lee, Heow Pueh; Miao, Chunyan; Zhou, You; Wu, Chunguo

    Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 76, Issue , pp. -. DOI: 10.1016/j.swevo.2022.101222

  • 3、A reference vector based multiobjective evolutionary algorithm with Q-learning for operator adaptation

    Author: Jiao, Keming; Chen, Jie; Xin, Bin; Li, Li

    Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 76, Issue , pp. -. DOI: 10.1016/j.swevo.2022.101225

  • 4、Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop

    Author: Li, Zhong-Kai; Sang, Hong-Yan; Li, Jun-Qing; Han, Yu-Yan; Gao, Kai-Zhou; Zheng, Zhi-Xin; Liu, Li-li

    Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 77, Issue , pp. -. DOI: 10.1016/j.swevo.2023.101227

  • 5、Explicit and size-adaptive PSO-based feature selection for classification

    Author: Qu, Litao; He, Weibin; Li, Jianfei; Zhang, Hua; Yang, Cheng; Xie, Bo

    Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 77, Issue , pp. -. DOI: 10.1016/j.swevo.2023.101249

  • 6、Deep reinforcement learning method for satellite range scheduling problem

    Author: Ou, Junwei; Xing, Lining; Yao, Feng; Li, Mengjun; Lv, Jimin; He, Yongming; Song, Yanjie; Wu, Jian; Zhang, Guoting

    Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 77, Issue , pp. -. DOI: 10.1016/j.swevo.2023.101233

  • 7、A many-objective evolutionary algorithm based on constraints for collaborative computation offloading

    Author: Cui, Zhihua; Xue, Zhaoyu; Fan, Tian; Cai, Xingjuan; Zhang, Wensheng

    Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 77, Issue , pp. -. DOI: 10.1016/j.swevo.2023.101244

  • 8、Decomposition-based multi-objective evolutionary algorithm for virtual machine and task joint scheduling of cloud computing in data space

    Author: Wang, Xianpeng; Lou, Hangyu; Dong, Zhiming; Yu, Chentao; Lu, Renquan

    Journal: SWARM AND EVOLUTIONARY COMPUTATION. 2023; Vol. 77, Issue , pp. -. DOI: 10.1016/j.swevo.2023.101230

投稿常見問題

通訊方式：RADARWEG 29, AMSTERDAM, NETHERLANDS, 1043 NX。