Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2010
Abstract
This paper introduces the Deliberation Decision Support System (DDSS). The DDSS obtains heuristically (using a genetic algorithm) solutions of interest for constrained optimization models. This is illustrated, without loss of generality, by generalized assignment problems. The DDSS also provides users with graphical tools that support post-solution deliberation for constrained optimization models. The DDSS and this paper, as befits practical concerns, are focused on deliberation with respect to the constraints of the models being used.
Keywords
Candle-lighting analysis, Constrained optimization, Deliberation support, Post-solution analysis, Sensitivity analysis
Discipline
Artificial Intelligence and Robotics | Computer Sciences | Numerical Analysis and Scientific Computing | Theory and Algorithms
Publication
GECCO '10: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation: Portland, Oregon, July 07-11, 2010
First Page
1833
Last Page
1840
ISBN
9781450300735
Identifier
10.1145/1830761.1830811
Publisher
ACM
City or Country
New York
Citation
KIMBROUGH, Steven O.; KUO, Ann; LAU, Hoong Chuin; and WOOD, David H..
On decision support for deliberating with constraints in constrained optimization models. (2010). GECCO '10: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation: Portland, Oregon, July 07-11, 2010. 1833-1840.
Available at: https://ink.library.smu.edu.sg/sis_research/3372
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/10.1145/1830761.1830811
Included in
Artificial Intelligence and Robotics Commons, Numerical Analysis and Scientific Computing Commons, Theory and Algorithms Commons