On decision support for deliberating with constraints in constrained optimization models

• Main Authors: KIMBROUGH, Steven O., KUO, Ann, LAU, Hoong Chuin, WOOD, David H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: 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
• Online Access: 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
• Institution: Singapore Management University

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.