State-Of-The-Art on Reactive Search

被引：0

作者：

Ayob, Masri ^{[1
]}

Nazri, Mohd Zakree Ahmad ^{[1
]}

Hamdan, Abdul Razak ^{[1
]}

Nababan, Erna Budhiarti ^{[1
]}

Sarim, Hafiz Mohd ^{[1
]}

机构：

[1] Univ Kebangsaan Malaysia, Fac Technol & Informat Sci, Ctr Artificial Intellengence CAIT, Data Min & Optimizat Res Grp DMO, Bangi, Selangor, Malaysia

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2011年 / 11卷 / 10期

关键词：

scheduling; reactive search; parameter tuning;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Real-world problems have a rich structure and are very dynamic. An efficient scheduling system for the problem should be able to react quickly to such changes as soon as they happen. In order to address this issue, reactive search is one of the solutions. Response to such events is made available and parameter is tuned during the search itself. In this paper we overview reactive search in literature and its application on scheduling problems

引用

页码：196 / 200

页数：5

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