Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
5-2015
Abstract
The basic idea of algorithm portfolio [1] is to create a mixture of diverse algorithms that complement each other’s strength so as to solve a diverse set of problem instances. Algorithm portfolios have taken on a new and practical meaning today with the wide availability of multi-core processors: from an enterprise perspective, the interest is to make best use of parallel machines within the organization by running different algorithms simultaneously on different cores to solve a given problem instance. Parallel execution of a portfolio of algorithms as suggested by [2, 3] a number of years ago has thus become a practical computing paradigm.
Discipline
Artificial Intelligence and Robotics | Theory and Algorithms
Publication
Learning and Intelligent Optimization: 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers
First Page
23
Last Page
28
ISBN
9783319190839
Identifier
10.1007/978-3-319-19084-6_3
Publisher
Springer
City or Country
Cham
Citation
MISIR, Mustafa; HANDOKO, Stephanus Daniel; and LAU, Hoong Chuin.
ADVISER: A web-based algorithm portfolio deviser. (2015). Learning and Intelligent Optimization: 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers. 23-28.
Available at: https://ink.library.smu.edu.sg/sis_research/2793
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1007/978-3-319-19084-6_3