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: Intelligent Optimization; Principles, Algorith Changhe Li,Shoufei Han,Shengxiang Yang Textbook 2024 China University of Geosciences Press 2

[復(fù)制鏈接]
查看: 48983|回復(fù): 55
樓主
發(fā)表于 2025-3-21 18:47:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Intelligent Optimization
副標(biāo)題Principles, Algorith
編輯Changhe Li,Shoufei Han,Shengxiang Yang
視頻videohttp://file.papertrans.cn/470/469862/469862.mp4
概述Fundamental and typical intelligent optimization algorithms for a wide range of learners.Practical significance of cutting-edge applications for a diverse range of optimization problems in real-world
圖書封面Titlebook: Intelligent Optimization; Principles, Algorith Changhe Li,Shoufei Han,Shengxiang Yang Textbook 2024 China University of Geosciences Press 2
描述.This textbook comprehensively explores the foundational principles, algorithms, and applications of intelligent optimization, making it an ideal resource for both undergraduate and postgraduate artificial intelligence courses. It remains equally valuable for active researchers and individuals engaged in self-study. Serving as a significant reference, it delves into advanced topics within the evolutionary computation field, including multi-objective optimization, dynamic optimization, constrained optimization, robust optimization, expensive optimization, and other pivotal scientific studies related to optimization...?..Designed to be approachable and inclusive, this textbook equips readers with the essential mathematical background necessary for understanding intelligent optimization. It employs an accessible writing style, complemented by extensive pseudo-code and diagrams that vividly illustrate the mechanisms, principles, and algorithms of optimization. With a focus on practicality, this textbook provides diverse real-world application examples spanning engineering, games, logistics, and other domains, enabling readers to confidently apply intelligent techniques to actual optimi
出版日期Textbook 2024
關(guān)鍵詞Artificial Intelligence; Optimization; Computational Intelligence; Evolutionary Computation; Swarm Intel
版次1
doihttps://doi.org/10.1007/978-981-97-3286-9
isbn_softcover978-981-97-3285-2
isbn_ebook978-981-97-3286-9
copyrightChina University of Geosciences Press 2024
The information of publication is updating

書目名稱Intelligent Optimization影響因子(影響力)




書目名稱Intelligent Optimization影響因子(影響力)學(xué)科排名




書目名稱Intelligent Optimization網(wǎng)絡(luò)公開度




書目名稱Intelligent Optimization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Optimization被引頻次




書目名稱Intelligent Optimization被引頻次學(xué)科排名




書目名稱Intelligent Optimization年度引用




書目名稱Intelligent Optimization年度引用學(xué)科排名




書目名稱Intelligent Optimization讀者反饋




書目名稱Intelligent Optimization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 20:35:58 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:57:55 | 只看該作者
Basics of Evolutionary Computation Algorithms computation (EC) is reviewed, including some biological processes that have inspired researchers. Classic evolutionary procedures, including representation, selection, and reproduction, are described in detail.
地板
發(fā)表于 2025-3-22 07:15:57 | 只看該作者
Parameter Control and Policy Control Single-parameter-specific methods and multi-parameter ensemble methods are introduced. The commonly used policy control frame is explained, and methods for operator selection control and hyper-heuristics control are discussed. Finally, promising trends in parameter and policy control are provided.
5#
發(fā)表于 2025-3-22 12:13:16 | 只看該作者
6#
發(fā)表于 2025-3-22 14:51:15 | 只看該作者
Exploitation Versus ExplorationThis chapter will first introduce the concepts of exploration and exploitation by reviewing several typical optimization algorithms. Next, methods of enhancing exploration or exploitation in EAs will be discussed. The final part will introduce existing methods of how to balance evolutionary exploration and exploitation.
7#
發(fā)表于 2025-3-22 17:04:24 | 只看該作者
Multimodal OptimizationThis chapter will first introduce the definition of multimodal optimization. Next, most representative evolutionary multimodal optimization algorithms, which are also known as niching methods, will be introduced. Future challenges will be discussed in the final part.
8#
發(fā)表于 2025-3-22 21:18:50 | 只看該作者
Constrained OptimizationIn this chapter, we will introduce the concept of constrained optimization problems(COPs), commonly used constraint-handling techniques based on EAs, and future research on constrained optimization.
9#
發(fā)表于 2025-3-23 05:17:48 | 只看該作者
Expensive OptimizationIn this chapter, we will first introduce the concept of expensive optimization. Some surrogate models and model management strategies in surrogate-assisted EAs are then described in detail. Finally, some challenges in the field of expensive optimization are discussed.
10#
發(fā)表于 2025-3-23 09:29:48 | 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 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, 2026-1-29 01:46
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
甘泉县| 松江区| 绩溪县| 永川市| 横峰县| 孝感市| 徐闻县| 阜阳市| 嫩江县| 应城市| 谢通门县| 监利县| 新巴尔虎右旗| 长兴县| 子长县| 台山市| 库伦旗| 平凉市| 台南市| 托克托县| 南川市| 兰坪| 乌恰县| 宝应县| 仁布县| 乌拉特前旗| 泊头市| 襄樊市| 启东市| 明光市| 宁陵县| 达孜县| 元谋县| 嘉定区| 仙居县| 石棉县| 洪洞县| 图们市| 阜新市| 论坛| 镶黄旗|