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: Cuckoo Search and Firefly Algorithm; Theory and Applicati Xin-She Yang Book 2014 Springer International Publishing Switzerland 2014 Computa

[复制链接]
查看: 17370|回复: 59
发表于 2025-3-21 17:16:51 | 显示全部楼层 |阅读模式
书目名称Cuckoo Search and Firefly Algorithm
副标题Theory and Applicati
编辑Xin-She Yang
视频video
概述Summary of the latest developments of cuckoo search and firefly algorithm and their diverse applications.Reviews both theoretical studies and applications with detailed algorithm analysis, implementat
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Cuckoo Search and Firefly Algorithm; Theory and Applicati Xin-She Yang Book 2014 Springer International Publishing Switzerland 2014 Computa
描述.Nature-inspired algorithms such as cuckoo search and firefly algorithm have become popular and widely used in recent years in many applications. These algorithms are flexible, efficient and easy to implement. New progress has been made in the last few years, and it is timely to summarize the latest developments of cuckoo search and firefly algorithm and their diverse applications. This book will review both theoretical studies and applications with detailed algorithm analysis, implementation and case studies so that readers can benefit most from this book. Application topics are contributed by many leading experts in the field. Topics include cuckoo search, firefly algorithm, algorithm analysis, feature selection, image processing, travelling salesman problem, neural network, GPU optimization, scheduling, queuing, multi-objective manufacturing optimization, semantic web service, shape optimization, and others..This book can serve as an ideal reference for both graduates and researchers in computer science, evolutionary computing, machine learning, computational intelligence, and optimization, as well as engineers in business intelligence, knowledge management and information techn
出版日期Book 2014
关键词Computational Intelligence; Cuckoo Search Algorithm; Firefly Algorithm
版次1
doihttps://doi.org/10.1007/978-3-319-02141-6
isbn_softcover978-3-319-37536-6
isbn_ebook978-3-319-02141-6Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

书目名称Cuckoo Search and Firefly Algorithm影响因子(影响力)




书目名称Cuckoo Search and Firefly Algorithm影响因子(影响力)学科排名




书目名称Cuckoo Search and Firefly Algorithm网络公开度




书目名称Cuckoo Search and Firefly Algorithm网络公开度学科排名




书目名称Cuckoo Search and Firefly Algorithm被引频次




书目名称Cuckoo Search and Firefly Algorithm被引频次学科排名




书目名称Cuckoo Search and Firefly Algorithm年度引用




书目名称Cuckoo Search and Firefly Algorithm年度引用学科排名




书目名称Cuckoo Search and Firefly Algorithm读者反馈




书目名称Cuckoo Search and Firefly Algorithm读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

1票 100.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 21:11:43 | 显示全部楼层
On the Randomized Firefly Algorithm,termining the next point in the search space and therefore has a crucial impact when exploring the new solution. In this chapter, an extensive comparison is made between various probability distributions that can be used for randomizing the firefly algorithm, e.g., Uniform, Gaussian, Lévi flights, C
发表于 2025-3-22 02:09:42 | 显示全部楼层
Cuckoo Search: A Brief Literature Review,ng many optimization problems and real-world applications. In the last few years, many papers have been published regarding cuckoo search, and the relevant literature has expanded significantly. This chapter summarizes briefly the majority of the literature about cuckoo search in peer-reviewed journ
发表于 2025-3-22 07:01:02 | 显示全部楼层
发表于 2025-3-22 11:16:54 | 显示全部楼层
发表于 2025-3-22 13:41:11 | 显示全部楼层
Cuckoo Search and Firefly Algorithm Applied to Multilevel Image Thresholding,itively expensive since the number of possible thresholds to be examined grows exponentially with the number of desirable thresholds. Swarm intelligence metaheuristics have been used successfully for such hard optimization problems. In this chapter we investigate performance of two relatively new sw
发表于 2025-3-22 20:22:50 | 显示全部楼层
发表于 2025-3-22 23:16:23 | 显示全部楼层
How to Generate the Input Current for Exciting a Spiking Neural Model Using the Cuckoo Search Algory when the model reaches a specific threshold. This response could be coded into a firing rate and perform a pattern classification task according to the firing rate generated with the input current. However, the input current must be carefully computed to obtain the desired behavior. In this paper,
发表于 2025-3-23 01:30:53 | 显示全部楼层
Multi-Objective Optimization of a Real-World Manufacturing Process Using Cuckoo Search,em is a combinatorial problem of setting 56 unique decision variables in a way that maximizes utilization of machines and at the same time minimizes tied-up capital. As in most real-world problems, the two optimization objectives are conflicting and improving performance on one of them deteriorates
发表于 2025-3-23 08:21:27 | 显示全部楼层
,Solving Reliability Optimization Problems by Cuckoo Search,er uses CS algorithm, to solve the reliability optimization problem. The reliability optimization problem involves setting reliability objectives for components or subsystems in order to meet the resource consumption constraint, e.g. the total cost. The difficulties facing reliability optimization p
 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, 2025-7-2 12:26
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