找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; 6th International Co Willem-Jan Hoeve

[復(fù)制鏈接]
樓主: Deleterious
51#
發(fā)表于 2025-3-30 10:47:10 | 只看該作者
52#
發(fā)表于 2025-3-30 12:59:21 | 只看該作者
Solution Enumeration for Projected Boolean Search Problemshis problem and propose a new algorithm computing projective solutions. Although we have implemented our approach in the context of Answer Set Programming, it is readily applicable to any solver based on modern Boolean constraint technology.
53#
發(fā)表于 2025-3-30 19:16:15 | 只看該作者
54#
發(fā)表于 2025-3-30 23:51:06 | 只看該作者
Sequencing and Counting with the multicost-regular Constraintess and the efficiency of this new constraint is experimented on personnel scheduling benchmark instances with standard work regulations. The comparative empirical results show how . can significantly outperform a decomposed model with . and . constraints.
55#
發(fā)表于 2025-3-31 03:44:42 | 只看該作者
The Polytope of Context-Free Grammar Constraintsoretical study we demonstrate how the constraint can be linearized efficiently. In particular, we propose a lifted polytope which has only integer extreme points. Based on this result, for shift scheduling problems we prove the equivalence of Dantzig’s original set covering model and a lately introduced grammar-based model.
56#
發(fā)表于 2025-3-31 05:50:34 | 只看該作者
57#
發(fā)表于 2025-3-31 10:53:50 | 只看該作者
Scalable Load Balancing in Nurse to Patient Assignment Problemsgramming (CP) models of increasing complexity to solve large instances with hundreds of patients and nurses in a few seconds using the . optimization system. The CP models use the recent spread global constraint to minimize the variance, as well as an exact decomposition technique.
58#
發(fā)表于 2025-3-31 16:12:35 | 只看該作者
Conference proceedings 2009onstraint programming, artificial intelligence, and operations research and present new techniques or new applications in combinatorial optimization, thus exploring ways of solving large-scale, practical optimization problems through integration and hybridization of the fields‘ different techniques.
59#
發(fā)表于 2025-3-31 20:34:30 | 只看該作者
60#
發(fā)表于 2025-3-31 22:31:28 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-2-5 09:39
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
本溪| 历史| 东城区| 蚌埠市| 宁蒗| 翁牛特旗| 山阳县| 平利县| 荥经县| 泰宁县| 新津县| 镇坪县| 罗平县| 岱山县| 贵定县| 当涂县| 东安县| 九龙城区| 濮阳市| 江华| 运城市| 漠河县| 武平县| 阳西县| 日土县| 临夏县| 永年县| 庆城县| 寻甸| 中江县| 阿克陶县| 樟树市| 定陶县| 华池县| 扎囊县| 年辖:市辖区| 新绛县| 肃宁县| 勐海县| 长沙县| 五华县|