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: Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms; Bo Xing,Wen-Jing Gao Book 2014 Springer International Publi

[復(fù)制鏈接]
樓主: 女孩
31#
發(fā)表于 2025-3-26 23:27:33 | 只看該作者
32#
發(fā)表于 2025-3-27 01:49:02 | 只看該作者
33#
發(fā)表于 2025-3-27 08:51:08 | 只看該作者
Intelligent Systems Reference Libraryhttp://image.papertrans.cn/i/image/467342.jpg
34#
發(fā)表于 2025-3-27 12:36:01 | 只看該作者
978-3-319-34930-5Springer International Publishing Switzerland 2014
35#
發(fā)表于 2025-3-27 14:29:50 | 只看該作者
36#
發(fā)表于 2025-3-27 19:26:10 | 只看該作者
Bat Inspired Algorithms We first describe the general knowledge of the foraging behaviour of bats in .. Then, the fundamentals and performances of the BaA and BI algorithm are introduced in . and ., respectively. Finally, . summarises in this chapter.
37#
發(fā)表于 2025-3-28 00:27:40 | 只看該作者
Cat Swarm Optimization Algorithm. We first describe the general knowledge of the behaviour of cats in .. Then, the fundamentals and performance of CSO are introduced in .. Next, some selected variations of CSO are explained in .. Right after this, . presents a representative CSO application. Finally, . summarises this chapter.
38#
發(fā)表于 2025-3-28 02:42:51 | 只看該作者
Luminous Insect Inspired Algorithmswarm optimization (GlSO) algorithm, and bioluminescent swarm optimization (BiSO) algorithm. We first describe the general knowledge of the luminous insects in .. Then, the fundamentals, performances and selected applications of FA, GlSO algorithm and BiSO algorithm are introduced in ., . and ., respectively. Finally, . summarises this chapter.
39#
發(fā)表于 2025-3-28 09:07:01 | 只看該作者
Frog Inspired Algorithmsing algorithm (FCA). We first provide a brief introduction in .. Then, the fundamentals and performance of SFLA are introduced in .. Next, . outlines some core working principles and preliminary experimental studies relative to FCA. Finally, . summarises this chapter.
40#
發(fā)表于 2025-3-28 10:57:42 | 只看該作者
Group Search Optimizer Algorithming behaviours, i.e., producer-scrounger paradigm. We first describe the general knowledge of the producer-scrounger model in .. Then, the fundamentals and performance of GrSO are introduced in .. Finally, . summarises this chapter.
 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 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-17 21:37
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
双城市| 赫章县| 北碚区| 华安县| 崇信县| 上虞市| 光泽县| 凤翔县| 略阳县| 嵊泗县| 钟山县| 三门县| 昌吉市| 台中市| 大新县| 湘乡市| 措美县| 城固县| 雷州市| 兖州市| 安达市| 灵宝市| 土默特右旗| 宾阳县| 抚宁县| 黄浦区| 北辰区| 工布江达县| 论坛| 彭阳县| 西和县| 太保市| 澄迈县| 特克斯县| 启东市| 定日县| 吉安县| 南安市| 十堰市| 长葛市| 芷江|