Month/Year of Graduation


Degree Name

Bachelor of Arts (B.A.)



First Advisor

Dr. Fabio Vitor


Choosing the right wedding venue can be extremely difficult for the unsuspecting engaged couple. There is a myriad of variables that must be taken into account prior to the illustrious wedding date; these variables include the option for a reception, the location, and food requirements, to name a few. Consequently, the typical couple seems to spend multiple months researching and visiting many wedding spaces. However, even though months go into planning, it still is not a guarantee that all variables are accounted for. Furthermore, without a wedding planner, these couples may second-guess their chosen site due to seemingly arduous issues with their venue. Even when a wedding planner is available, their services can be extremely expensive, and this still does not guarantee the perfect wedding; these issues add a layer of difficulty to the wedding planning process—due to the differing values of couples. This project aims to use a mathematical framework to model and generalize the wedding venue selection process. The resulting model can be used to model the venue selection process in the future and help the planning process become more efficient and repeatable. The model follows numerous constraints in order to maximize the utility gained by the author and his fiancé. This model is implemented on the IBM ILOG CPLEX Optimization Studio. The results from this model provide an optimal wedding venue and the number of guests that should be invited.