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: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; 7th International Co Andrea Lodi,Mich

[复制链接]
查看: 25068|回复: 56
发表于 2025-3-21 16:26:31 | 显示全部楼层 |阅读模式
书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem
副标题7th International Co
编辑Andrea Lodi,Michela Milano,Paolo Toth
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; 7th International Co Andrea Lodi,Mich
出版日期Conference proceedings 2010
关键词applications; artificial intelligence; combinatorial optimization; cutting planes; heuristic search; netw
版次1
doihttps://doi.org/10.1007/978-3-642-13520-0
isbn_softcover978-3-642-13519-4
isbn_ebook978-3-642-13520-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem影响因子(影响力)




书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem影响因子(影响力)学科排名




书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem网络公开度




书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem网络公开度学科排名




书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem被引频次




书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem被引频次学科排名




书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem年度引用




书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem年度引用学科排名




书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem读者反馈




书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem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 23:30:26 | 显示全部楼层
发表于 2025-3-22 03:55:09 | 显示全部楼层
发表于 2025-3-22 05:24:26 | 显示全部楼层
发表于 2025-3-22 11:14:11 | 显示全部楼层
发表于 2025-3-22 12:55:58 | 显示全部楼层
Single-Facility Scheduling over Long Time Horizons by Logic-Based Benders Decomposition, solve single-facility non-preemptive scheduling problems with time windows and long time horizons that are divided into segments separated by shutdown times (such as weekends). The objective is to find feasible solutions, minimize makespan, or minimize total tardiness.
发表于 2025-3-22 19:07:40 | 显示全部楼层
On Matrices, Automata, and Double Counting,e arithmetic constraints. The second method introduces the ., which abstracts the overall behaviour of all the row automata and can be encoded by a set of linear constraints. We evaluate the impact of our methods on a large set of nurse rostering problem instances.
发表于 2025-3-23 00:47:36 | 显示全部楼层
,The Increasing Nvalue Constraint,mial. We propose an algorithm achieving generalized arc-consistency in .(Σ.) time, where Σ. is the sum of domain sizes. This algorithm is an improvement of filtering algorithms obtained by the automaton-based or the .-based reformulations. We evaluate our constraint on a resource allocation problem.
发表于 2025-3-23 01:24:03 | 显示全部楼层
Hybrid Methods for the Multileaf Collimator Sequencing Problem,ration. Empirical evaluation on both random and clinical problem instances shows that these approaches can out-perform the state-of-the-art by an order of magnitude in terms of time. Larger problem instances than those within the capability of other approaches can also be solved with the methods proposed.
发表于 2025-3-23 08:17:29 | 显示全部楼层
Automatically Exploiting Subproblem Equivalence in Constraint Programming,t problems. We show how a constraint programming solver with this capability can solve search problems where subproblem equivalence arises orders of magnitude faster. The system is fully automatic, i.e., the subproblem equivalences are detected and exploited without any effort from the problem modeller.
 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, 2025-5-18 01:37
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