Publication Type
Conference Paper
Version
submittedVersion
Publication Date
7-2011
Abstract
Solution pluralism is an approach to problem solving and deliberation. It employs a plurality of distinct solutions for a decision problem for aiding decision making. The concept is well established in existing practice, although perhaps not recognized as such. This paper: (1) presents the concept as a generalization of established practice, (2) briefly describes successful uses of the concept in practice, and (3) presents several areas that appear would benefit from application of the concept. Throughout, the role of metaheuristics in finding the pluralities of solutions is emphasized.
Discipline
Artificial Intelligence and Robotics | Computer Sciences | Numerical Analysis and Scientific Computing
Publication
Metaheuristics International Conference 9th MIC 2011, July 25-28, 2011
Publisher
PATAT
City or Country
Udine, Italy
Citation
Kimbrough, Steven O.; KUO, Ann; LAU, Hoong Chuin; Murphy, Frederic H.; and Wood, David Harlan.
Solution pluralism and metaheuristics. (2011). Metaheuristics International Conference 9th MIC 2011, July 25-28, 2011.
Available at: https://ink.library.smu.edu.sg/sis_research/3407
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://opim.wharton.upenn.edu/~sok/sokpapers/2011/MIC2011/solution-pluralism-position-MIC.pdf
Included in
Artificial Intelligence and Robotics Commons, Numerical Analysis and Scientific Computing Commons