Abstract
The Facility location challenge has been widely addressed by using various mathematical models since 1960s. However, there are not sufficient Operation Research perspective approaches on the location problems throughout the hotel industry. In this study, we developed a mathematical model to optimize the location and size of new business hotels within their budget restrictions. As a solution approach, a genetic algorithm was developed. A proposed mathematical model and a genetic algorithm were tested using the real data of head offices and using hypothesis hotels data in Seoul metropolitan city. A Proposed mathematical model and a genetic algorithm were examined via numerical example by deriving the optimal location and size of new hotels in a reasonable time.
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