找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Advances in Swarm Intelligence; 7th International Co Ying Tan,Yuhui Shi,Ben Niu Conference proceedings 2016 Springer International Publishi

[復(fù)制鏈接]
查看: 32438|回復(fù): 57
樓主
發(fā)表于 2025-3-21 19:33:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Swarm Intelligence
期刊簡(jiǎn)稱7th International Co
影響因子2023Ying Tan,Yuhui Shi,Ben Niu
視頻videohttp://file.papertrans.cn/150/149960/149960.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Swarm Intelligence; 7th International Co Ying Tan,Yuhui Shi,Ben Niu Conference proceedings 2016 Springer International Publishi
影響因子.?..This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive sections covering major topics of swarm intelligence and related areas such as trend and models of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks algorithms; multi-objective optimization; large-scale global optimization; biometrics;?scheduling and planning; machine learning methods; clustering algorithm; classification; image classification and encryption; data mining; sensor networks and social networks; neural networks; swarm intelligence in management decision making and operations research; robot control; swarm robotics; intelligent energy and communications systems; and intelligent and interactive and tutoring sys
Pindex Conference proceedings 2016
The information of publication is updating

書目名稱Advances in Swarm Intelligence影響因子(影響力)




書目名稱Advances in Swarm Intelligence影響因子(影響力)學(xué)科排名




書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度




書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Swarm Intelligence被引頻次




書目名稱Advances in Swarm Intelligence被引頻次學(xué)科排名




書目名稱Advances in Swarm Intelligence年度引用




書目名稱Advances in Swarm Intelligence年度引用學(xué)科排名




書目名稱Advances in Swarm Intelligence讀者反饋




書目名稱Advances in Swarm Intelligence讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:53:42 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:21:37 | 只看該作者
地板
發(fā)表于 2025-3-22 06:49:41 | 只看該作者
5#
發(fā)表于 2025-3-22 10:07:29 | 只看該作者
Swarmscape: A Synergistic Approach Combining Swarm Simulations, Body Movement and Volumetric Project, frequency and intensity of movement of human body are used as parameters for activating a swarm of volumetrically projected digital particles/agents in space in real-time. Evolving 3D topological nuances within which the participant navigates and in doing so triggers further evolution of these immersive topologies are thus materialized.
6#
發(fā)表于 2025-3-22 16:45:50 | 只看該作者
Particle Filter Optimization: A Brief Introductionthe theoretical foundation for all PFO algorithms. Second, it reviews PFO algorithms under the umbrella of the PF theory. Lastly, it discusses promising research directions on the interface of PF methods and swarm intelligence techniques.
7#
發(fā)表于 2025-3-22 20:37:05 | 只看該作者
A Simulation Study on Collective Motion of Fish Schoolsde when they are very close to medium fish. Originality of the paper comes from the investigation of collective motion of fish with respect to these four modes. Also it is possible to add new individuals and moving feeds while the simulation is running. Polarization and expanse changes of swarm is also analyzed for two modes.
8#
發(fā)表于 2025-3-22 23:38:23 | 只看該作者
9#
發(fā)表于 2025-3-23 02:26:38 | 只看該作者
Recapitulations and Contributionsh worst fighting capabilities is eliminated to maintain the amount of duelists. Several benchmark functions is used in this work. The results shows that Duelist Algorithm outperform other algorithms in several functions.
10#
發(fā)表于 2025-3-23 09:00:58 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 07:52
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
南平市| 且末县| 徐汇区| 北碚区| 区。| 安庆市| 遂溪县| 扎囊县| 益阳市| 勃利县| 洛浦县| 特克斯县| 镇安县| 淮南市| 石渠县| 涟水县| 墨竹工卡县| 农安县| 乌兰浩特市| 浮梁县| 萨嘎县| 辛集市| 东城区| 昌邑市| 河曲县| 滁州市| 渝中区| 萝北县| 南丹县| 四子王旗| 扎兰屯市| 应城市| 曲松县| 界首市| 永泰县| 乳山市| 蕉岭县| 墨竹工卡县| 乌拉特中旗| 大新县| 慈利县|