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

[复制链接]
查看: 48883|回复: 55
发表于 2025-3-21 18:47:37 | 显示全部楼层 |阅读模式
书目名称Intelligent Optimization
副标题Principles, Algorith
编辑Changhe Li,Shoufei Han,Shengxiang Yang
视频video
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
图书封面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
关键词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

书目名称Intelligent Optimization影响因子(影响力)




书目名称Intelligent Optimization影响因子(影响力)学科排名




书目名称Intelligent Optimization网络公开度




书目名称Intelligent Optimization网络公开度学科排名




书目名称Intelligent Optimization被引频次




书目名称Intelligent Optimization被引频次学科排名




书目名称Intelligent Optimization年度引用




书目名称Intelligent Optimization年度引用学科排名




书目名称Intelligent Optimization读者反馈




书目名称Intelligent Optimization读者反馈学科排名




单选投票, 共有 0 人参与投票
 

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

您所在的用户组没有投票权限
发表于 2025-3-21 20:35:58 | 显示全部楼层
发表于 2025-3-22 01:57:55 | 显示全部楼层
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.
发表于 2025-3-22 07:15:57 | 显示全部楼层
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.
发表于 2025-3-22 12:13:16 | 显示全部楼层
发表于 2025-3-22 14:51:15 | 显示全部楼层
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.
发表于 2025-3-22 17:04:24 | 显示全部楼层
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.
发表于 2025-3-22 21:18:50 | 显示全部楼层
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.
发表于 2025-3-23 05:17:48 | 显示全部楼层
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.
发表于 2025-3-23 09:29:48 | 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, 2025-5-21 15:33
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