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: Evolutionary Multi-Criterion Optimization; First International Eckart Zitzler,Lothar Thiele,David Corne Conference proceedings 2001 Spring

[复制链接]
查看: 23022|回复: 65
发表于 2025-3-21 20:03:18 | 显示全部楼层 |阅读模式
书目名称Evolutionary Multi-Criterion Optimization
副标题First International
编辑Eckart Zitzler,Lothar Thiele,David Corne
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Evolutionary Multi-Criterion Optimization; First International  Eckart Zitzler,Lothar Thiele,David Corne Conference proceedings 2001 Spring
描述This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001..The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two tutorial surveys and two invited papers. The book is organized in topical sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.
出版日期Conference proceedings 2001
关键词Approximation; Evolutionary Algorithms; Genetic Algorithms; Multi-Criterion Optimization; Multiple Crite
版次1
doihttps://doi.org/10.1007/3-540-44719-9
isbn_softcover978-3-540-41745-3
isbn_ebook978-3-540-44719-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2001
The information of publication is updating

书目名称Evolutionary Multi-Criterion Optimization影响因子(影响力)




书目名称Evolutionary Multi-Criterion Optimization影响因子(影响力)学科排名




书目名称Evolutionary Multi-Criterion Optimization网络公开度




书目名称Evolutionary Multi-Criterion Optimization网络公开度学科排名




书目名称Evolutionary Multi-Criterion Optimization被引频次




书目名称Evolutionary Multi-Criterion Optimization被引频次学科排名




书目名称Evolutionary Multi-Criterion Optimization年度引用




书目名称Evolutionary Multi-Criterion Optimization年度引用学科排名




书目名称Evolutionary Multi-Criterion Optimization读者反馈




书目名称Evolutionary Multi-Criterion 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 21:57:38 | 显示全部楼层
发表于 2025-3-22 03:54:52 | 显示全部楼层
Isidora Stojanovic,Louise McNallynnot be neglected. The results lead not only to better insight into the working principle of multi-objective evolutionary algorithms but also to design recommendations that can help possible users in including the essential features into their own algorithms in a modular fashion.
发表于 2025-3-22 04:34:45 | 显示全部楼层
发表于 2025-3-22 09:58:09 | 显示全部楼层
Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence NSGA-II. The need for a controlled elitism in evolutionary multi-objective optimiza- tion, demonstrated in this paper should encourage similar or other ways of implementing controlled elitism in other multi-objective evolutionary algorithms.
发表于 2025-3-22 16:28:06 | 显示全部楼层
发表于 2025-3-22 18:23:01 | 显示全部楼层
On The Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Opnnot be neglected. The results lead not only to better insight into the working principle of multi-objective evolutionary algorithms but also to design recommendations that can help possible users in including the essential features into their own algorithms in a modular fashion.
发表于 2025-3-22 23:10:44 | 显示全部楼层
发表于 2025-3-23 04:12:30 | 显示全部楼层
https://doi.org/10.1007/3-540-08931-4ate method could be found for different purposes. The methods are classified according to the role of a decision maker in the solution process. The main emphasis is devoted to interactive methods where the decision maker progressively provides preference information so that the most satisfactory sol
发表于 2025-3-23 06:14:36 | 显示全部楼层
Experimental Methods in Hydraulic Researchhandle more than one objective function at a time). The most commonly used evolutionary multiobjective optimization techniques will be described and criticized, including some of their applications. Theory, test functions and metrics will be also discussed. Finally, we will provide some possible pat
 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, 2025-5-14 21:14
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