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UBC Theses and Dissertations

Optimization decision maker algorithm for infrastructure interdependencies with I2Sim applications Bai, Ming


The study of complex interdependent systems is an important research area. In recent years, it has been applied to disaster response management and building energy systems. I2Sim (Infrastructures Interdependencies Simulator) is a software simulation toolbox developed by the Power Lab at the University of BC. It has a wide range of capabilities including simulation of disasters scenarios and energy system optimization. The user needs to provide Human Readable Tables (HRTs) as inputs for the program. The basic ontology of the I2Sim Resource Layer includes cells, channels and tokens, which are abstractions from real life objects. Initially, the intent of this thesis was to examine the energy usage pattern of the Kaiser Building, perform energy optimization modeling and examine how it relates to energy policies. After some initial research, it was not possible to proceed further due to a lack of metered data. The research focus was changed to disaster scenario simulation. This thesis proposes a new optimization algorithm named Lagrange Based Optimization (LBO). The main objective is to maximize the number of discharged patients from the hospitals simulated in this study. The first scenario modeled is a three-hospital scenario with no transportation to illustrate the principles of the algorithm. Then a three-venue three-hospital scenario with transportation was modeled to maximize both the number of patients transported to the hospitals and the number of patients discharged from the hospitals. After that, the first scenario is compared against the performance of a Reinforcement Learning (RL) agent method concurrently developed in the same research group. Overall, the LBO algorithm demonstrates optimal results in the various I2Sim modeling scenarios.

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