An Application of Multiobjective Optimization under Uncertainty

F. Szidarovszky, A. Eskandari, and J. Zhao (USA)


Hazardous material, Monte Carlo simulation, Simulationuncertainty, Optimization.Table 1. Evaluation values and their uncertainty1T 2T 3T 4T 5T1C%1010 6%1010 6%10102 6%1010 6%


The selection of the most appropriate remediation technology is found to cleanup a chemical landfill. Multiobjective optimization is used to model the conflicting interests and priorities of the interest groups. Six particular distance-based methods are used and the uncertainty of model parameters is taken into account by a special simulation approach. The restoration of a chemical landfill can be done by using any one of the following technologies: T1: digging and disposing T2: in situ remediation with established methods T3: in situ remediation with new methods T4: ex situ remediation with established methods T5: ex situ remediation with new methods.

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