✦ LIBER ✦

A Tabu Search Algorithm for application placement in computer clustering

✍ Scribed by van der Gaast, Jelmer P.; Rietveld, Cornelius A.; Gabor, Adriana F.; Zhang, Yingqian

Book ID: 121834166
Publisher: Elsevier Science
Year: 2014
Tongue: English
Weight: 525 KB
Volume: 50
Category: Article
ISSN: 0305-0548
DOI: 10.1016/j.cor.2014.03.025

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A tabu search-based algorithm for the fu

A tabu search-based algorithm for the fuzzy clustering problem

✍ Khaled S Al-Sultan; Chawki A Fedjki 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 597 KB

The Fuzzy Clustering Problem (FCP) is a mathematical program which is difficult to solve since it is nonconvex, which implies possession of many local minima. The fuzzy C-means heuristic is the widely known approach to this problem, but it is guaranteed only to yield local minima. In this paper, we

A tabu search algorithm for computing an

A tabu search algorithm for computing an operational timetable

✍ Daniel Costa 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 940 KB

Tabu search based global optimization al

Tabu search based global optimization algorithms for problems in computational chemistry

✍ Christoph Grebner; Johannes Becker; Daniel Weber; Bernd Engels 📂 Article 📅 2012 🏛 BioMed Central 🌐 English ⚖ 72 KB

[Lecture Notes in Computer Science] Know

[Lecture Notes in Computer Science] Knowledge-Based Intelligent Information and Engineering Systems Volume 3682 || A Hybrid Tabu Search Based Clustering Algorithm

✍ Khosla, Rajiv; Howlett, Robert J.; Jain, Lakhmi C. 📂 Article 📅 2005 🏛 Springer Berlin Heidelberg ⚖ 224 KB

A tabu search scheme for abstract proble

A tabu search scheme for abstract problems, with applications to the computation of fixed points

✍ Juan Enrique Martínez-Legaz; Antoine Soubeyran 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 145 KB

A multilevel tabu search algorithm for t

A multilevel tabu search algorithm for the feature selection problem in biomedical data

✍ Idowu O. Oduntan; Michel Toulouse; Richard Baumgartner; Christopher Bowman; Ray 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 817 KB

The automated analysis of patients' biomedical data can be used to derive diagnostic and prognostic inferences about the observed patients. Many noninvasive techniques for acquiring biomedical samples generate data that are characterized by a large number of distinct attributes (i.e., features) and