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6The increase in global environmental concerns as well as advancement of computational tools and 7 methods have had significant impacts on the way in which buildings are being designed. Building 8 professionals are increasingly expected to improve energy performance of their design. To achieve a high 9 level of energy performance, multidisciplinary simulation-based optimization can be utilized to help 10 designers in exploring more design alternatives and making informed decisions. Because of the high 11 complexity in setting up a building model for multi-objective design optimization, there is a great demand 12 of utilizing and integrating the advanced modeling and simulation technologies, including BIM, 13 parametric modeling, cloud-based simulation, and optimization algorithms, as well as a new user interface 14 that facilitates the setup of building parameters (decision variables) and performance fitness functions 15 (design objectives) for automatically generating, evaluating, and optimizing multiple design options. This 16 paper presents an integrated framework for Building Information Modeling (BIM)-based Performance 17Optimization, BPOpt. This framework enables designers to explore design alternatives using an open-18 source, visual programming user interface on the top of a widely-used BIM platform, to generate models 19 of building design options, assess the environmental performance of the models through cloud-based 20 simulation, and search for the most appropriate design alternatives. This paper details the process of the 21 development of BPOpt and also provides a case study to show its application. The case study 22demonstrates the use of BPOpt in minimizing the energy consumption while maximizing the appropriate 23 daylighting level for a residential building. Finally, strengths, limitations, current adoption by academia 24 and industry, and future improvements of BPOpt for high-performance building design are discussed. 25