Conference Proceeding Article
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.
Candle-lighting analysis, Constrained optimization, Deliberation support, Post-solution analysis, Sensitivity analysis
Artificial Intelligence and Robotics | Computer Sciences | Numerical Analysis and Scientific Computing | Theory and Algorithms
Intelligent Systems and Decision Analytics
GECCO '10: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation: Portland, Oregon, July 07-11, 2010
City or Country
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. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3372
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