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

[復制鏈接]
樓主: Grant
41#
發(fā)表于 2025-3-28 14:41:47 | 只看該作者
42#
發(fā)表于 2025-3-28 20:30:48 | 只看該作者
Bacterial Foraging Algorithm Based on Reinforcement Learning for Continuous Optimizationsi.e., cell-to-cell crossover) to dynamically balance exploration and exploitation during the search process. Then the proposed algorithm is evaluated against several state-of-the-art algorithms on a set of continuous benchmark instances. Experimental results verify the significant superiority of the proposed algorithm.
43#
發(fā)表于 2025-3-29 02:27:06 | 只看該作者
44#
發(fā)表于 2025-3-29 06:36:48 | 只看該作者
Multi-objective Firefly Algorithm Guided by Elite Particletal results show that the proposed algorithm is superior to the MOPSO, MOEA/D, PESA-II, NSGA-III algorithm on the GD, SP, MS and other quantitative indexes for the seven classic test functions, and the proposed algorithm is an effective method for multi-objective optimization.
45#
發(fā)表于 2025-3-29 10:24:47 | 只看該作者
Conference proceedings 2018angzhou, China, in November 2017.The 101 full papers presented in both volumes were carefully reviewed and selected from 181 submissions. This first volume is organized in topical sections on neural networks and statistical learning: neural architecture search,?transfer of knowledge;?evolutionary mu
46#
發(fā)表于 2025-3-29 14:23:35 | 只看該作者
47#
發(fā)表于 2025-3-29 19:36:40 | 只看該作者
48#
發(fā)表于 2025-3-29 21:45:03 | 只看該作者
49#
發(fā)表于 2025-3-30 00:51:21 | 只看該作者
50#
發(fā)表于 2025-3-30 06:56:12 | 只看該作者
Ontology Sparse Vector Learning Algorithmaper two experiment results showed algorithm by using squared loss function to express the error term, Finally, two experiment results showed the effective of our ontology sparse vector learning algorithm for ontology similarity computation in specific engineering applications.
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2026-2-1 02:50
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
青龙| 彭阳县| 阜城县| 栾川县| 泾川县| 平定县| 遂昌县| 乃东县| 保靖县| 新建县| 邢台市| 南安市| 鄂伦春自治旗| 承德县| 额济纳旗| 台南县| 新野县| 平阳县| 千阳县| 应城市| 大宁县| 红河县| 杨浦区| 万宁市| 陵川县| 淮阳县| 高邮市| 临清市| 沅江市| 陵水| 定日县| 阿尔山市| 沽源县| 长岭县| 高安市| 永登县| 新绛县| 九江县| 如东县| 沙雅县| 抚宁县|