On decision support for deliberating with constraints in constrained optimization models

On decision support for deliberating with constraints in constrained optimization models

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 use...

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Main Authors: KIMBROUGH, Steven O., KUO, Ann, LAU, Hoong Chuin, WOOD, David H.
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2010
主題:
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
在線閱讀:https://ink.library.smu.edu.sg/sis_research/3372
https://ink.library.smu.edu.sg/context/sis_research/article/4374/viewcontent/OnDecisionSupportContrainedOpt_2010_GECCO.pdf
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機構: Singapore Management University
語言: English
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總結: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.

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