| Summary: | 碩士 === 元培科技大學 === 企業管理研究所 === 97 === Unlike prior studies that have investigated a multi-objective optimal solutions for the government, private investors, and end users of build-operate-transfer (BOT) schemes, the present study developed a multi-objective optimal model to tackle conflicts among government interests that focus on users’ rights and social welfare, the private investor’s pursuit of profit maximization, and lenders who want to control financial risk. This paper uses a simulation-based multi-objective genetic algorithm (SMOGA) procedure to identify optimal terms and conditions for BOT projects with multi-objectives under conditions of uncertainty. We use the Monte Carlo simulation technique to simulate the project risks, a genetic algorithm (GA) to tackle the non-convexity of the bi-level network design problem, and the Kaohsiung Cable Car Development Project in Taiwan as a case study. The results of the empirical study verify that the SMOGA is useful in finding an optimal solution for three parties whose interests are in conflict. The solution can form the basis for the negotiations of a BOT contract.
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