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This paper explains how genetic algorithm (GA) optimization can be used to assist a water utility in preparing for a wide range of possible emergency events. GA optimization enables planners to identify the most appropriate and least-cost system improvements needed to allow the system to continue to function at an adequate level of service. By using GA optimization to sequentially apply different emergency scenarios to a distribution model, the water utility can effectively enhance the redundancy and reliability of its distribution system in order to minimize the impact of a normal or extreme event that disrupts the water supply. Includes 5 references, figures.