當(dāng)前位置：首頁 JCRQ1 期刊介紹(非官網(wǎng))

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(yù)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...

投稿咨詢加急見刊

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(xué)優(yōu)秀雜志。致力于發(fā)表原創(chuàng)科學(xué)研究結(jié)果，并為計算機科學(xué)各個領(lǐng)域的原創(chuàng)研究提供一個展示平臺，以促進計算機科學(xué)領(lǐng)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(dāng)前感興趣的研究主題的新見解，或?qū)彶槎嗄陙砟硞€重要領(lǐng)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(xué)領(lǐng)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(yù)警期刊名單，目前已被權(quán)威數(shù)據(jù)庫SCIE收錄，得到了廣泛的認(rèn)可。

該期刊投稿重要關(guān)注點：

預(yù)計審稿時間：
國際TOP期刊
計算機科學(xué)
COMPUTER SCIENCE, THEORY & METHODS
SCIE
中科院1區(qū)
非預(yù)警

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(xué)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(biāo)。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(chǔ)，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(xué)術(shù)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(biāo)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(xué)科	分區(qū)	小類學(xué)科	分區(qū)
計算機科學(xué)	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(chǔ)，運用科學(xué)計量學(xué)方法對國際、國內(nèi)學(xué)術(shù)期刊依據(jù)影響力進行等級劃分的期刊評價標(biāo)準(zhǔn)。它為我國科研、教育機構(gòu)的管理人員、科研工作者提供了一份評價國際學(xué)術(shù)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(gòu)的廣泛認(rèn)可。

中科院分區(qū)表 將所有期刊按照一定指標(biāo)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(lǐng)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(xué)術(shù)期刊質(zhì)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(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q1	19 / 197	90.6%
學(xué)科：COMPUTER SCIENCE, THEORY & METHODS	SCIE	Q1	9 / 143	94.1%

按JCI指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q1	19 / 198	90.66%
學(xué)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(xué)術(shù)文獻質(zhì)量進行評估。不同學(xué)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(zhì)量可能是存在一定問題的。因此，JCR將期刊按照學(xué)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(lǐng)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(xué)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