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: Applying Particle Swarm Optimization; New Solutions and Ca Burcu Adıgüzel Mercangöz Book 2021 The Editor(s) (if applicable) and The Author(

[复制链接]
查看: 11457|回复: 63
发表于 2025-3-21 18:45:39 | 显示全部楼层 |阅读模式
期刊全称Applying Particle Swarm Optimization
期刊简称New Solutions and Ca
影响因子2023Burcu Adıgüzel Mercangöz
视频video
发行地址First book-length treatment of portfolio optimization using particle swarm optimization (PSO).Explains PSO in detail and shows how to apply it.Applies PSO to portfolio optimization problems in a range
学科分类International Series in Operations Research & Management Science
图书封面Titlebook: Applying Particle Swarm Optimization; New Solutions and Ca Burcu Adıgüzel Mercangöz Book 2021 The Editor(s) (if applicable) and The Author(
影响因子.This book explains the theoretical structure of particle swarm optimization (PSO) and focuses on the application of PSO to portfolio optimization problems. The general goal of portfolio optimization is to find a solution that provides the highest expected return at each level of portfolio risk. According to H. Markowitz’s portfolio selection theory, as new assets are added to an investment portfolio, the total risk of the portfolio’s decreases. .depending on the correlations of asset returns, while the expected return on the portfolio represents the weighted average of the expected returns for each asset..The book explains PSO in detail and demonstrates how to implement Markowitz’s portfolio optimization approach using PSO. In addition, it expands on the Markowitz model and seeks to improve the solution-finding process with the aid of various algorithms. In short, the book provides researchers, teachers, engineers, managers and practitioners with many tools they need to apply the PSO technique to portfolio optimization..
Pindex Book 2021
The information of publication is updating

书目名称Applying Particle Swarm Optimization影响因子(影响力)




书目名称Applying Particle Swarm Optimization影响因子(影响力)学科排名




书目名称Applying Particle Swarm Optimization网络公开度




书目名称Applying Particle Swarm Optimization网络公开度学科排名




书目名称Applying Particle Swarm Optimization被引频次




书目名称Applying Particle Swarm Optimization被引频次学科排名




书目名称Applying Particle Swarm Optimization年度引用




书目名称Applying Particle Swarm Optimization年度引用学科排名




书目名称Applying Particle Swarm Optimization读者反馈




书目名称Applying Particle Swarm 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 22:13:37 | 显示全部楼层
Portfolio Optimizatione different optimization techniques for creating an optimum portfolio depending on the risk and return variable. Particle swarm optimization (PSO) method is one of the important and useful techniques used in portfolio optimization in finance. In this chapter, Markowitz mean-variance model, which is
发表于 2025-3-22 00:59:00 | 显示全部楼层
发表于 2025-3-22 08:26:40 | 显示全部楼层
A Comparative Study on PSO with Other Metaheuristic Methodsused in many engineering applications such as optimization of engineering problems, telecommunications, information security, and image processing. Many metaheuristic algorithms such as particle swarm optimization (PSO), ant colony optimization (ACO), and genetic algorithm (GA) are recently becoming
发表于 2025-3-22 09:16:08 | 显示全部楼层
Mathematical Model of Particle Swarm Optimization: Numerical Optimization Problemscan be implemented and its simple approach. It is a multi-agent parallel search metaheuristic technique aimed at global optimization for numerical optimization problems. It has roots in artificial life techniques like swarm intelligence, fish schooling, etc. This chapter aims to introduce the mathem
发表于 2025-3-22 16:36:43 | 显示全部楼层
发表于 2025-3-22 18:04:05 | 显示全部楼层
发表于 2025-3-22 21:25:30 | 显示全部楼层
发表于 2025-3-23 02:19:04 | 显示全部楼层
发表于 2025-3-23 07:36:34 | 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, 2025-5-13 20:39
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