用户名  找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computational Intelligence and Intelligent Systems; 9th International Sy Kangshun Li,Wei Li,Yong Liu Conference proceedings 2018 Springer N

[复制链接]
楼主: Gram114
发表于 2025-3-25 04:24:10 | 显示全部楼层
发表于 2025-3-25 10:22:37 | 显示全部楼层
A Dual Internal Point Filter Algorithm Based on Orthogonal Designg the initial points is compared with the dual interior point filter algorithm based on random initial points (DIPFA-RND). The experimental results show that DIPFA-OD has a faster convergence speed and obtains better objective values than DIPFA-RND.
发表于 2025-3-25 12:46:58 | 显示全部楼层
Conference proceedings 2018imedia simulation; intelligent information systems: information retrieval, e-commerce platforms; artificial intelligence and robotics: query optimization, intelligent engineering; virtualization: motion-based tracking, image recognition..
发表于 2025-3-25 19:11:50 | 显示全部楼层
1865-0929 amic, multimedia simulation; intelligent information systems: information retrieval, e-commerce platforms; artificial intelligence and robotics: query optimization, intelligent engineering; virtualization: motion-based tracking, image recognition..978-981-13-1650-0978-981-13-1651-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
发表于 2025-3-25 23:25:15 | 显示全部楼层
,Kriminalität und Gesellschaft,ion strategy (AEM) is included to avoid trapping into local optimum. Experimental results show that the proposed method has a significant improvement in performance compared with some state-of-art PSOs.
发表于 2025-3-26 01:31:50 | 显示全部楼层
https://doi.org/10.1007/978-3-322-97384-9is article. The large number of experiment results and analysis reveals that AHOPSO-CEO achieves better performance with other algorithms on the convergence speed and convergence accuracy for optimization problems.
发表于 2025-3-26 04:17:31 | 显示全部楼层
发表于 2025-3-26 12:01:01 | 显示全部楼层
发表于 2025-3-26 12:45:54 | 显示全部楼层
Differential Opposition-Based Particle Swarmion strategy (AEM) is included to avoid trapping into local optimum. Experimental results show that the proposed method has a significant improvement in performance compared with some state-of-art PSOs.
发表于 2025-3-26 18:38:28 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-24 09:56
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表