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Yang, D. (author), Sun, Y (author), Di Stefano, D. (author), Turrin, M. (author), Sariyildiz, I.S. (author)
Surrogate-based Optimization is a useful approach when the objective function is computationally expensive to evaluate, compared to Simulation-based Optimization. In the surrogate-based method, analytically tractable “surrogate models” (also known as “Response Surface Models — RSMs” or “metamodels”), are constructed and validated for each...
conference paper 2016
document
Yang, D. (author), Šileryte, R. (author), D'Aquilio, A. (author), Turrin, M. (author)
Building performance simulations are usually timeconsuming. They may account for the major portion of time spent in Computational Design Optimization (CDO), for instance, annual hourly daylight and energy simulations. In this case, the optimization may become less efficient or even infeasible within a limited time frame of real-world projects,...
conference paper 2016
document
Yang, D. (author), Sun, Y. (author), Turrin, M. (author), von Buelow, P. (author), Paul, J.C. (author)
Currently, in the conceptual envelope design of sports facilities, multiple engineering performance feedbacks (e.g. daylight, energy and structural performance) are expected to assist architectural design decision-making. In general, it is known as Building Performance Optimization in the conceptual architectural design phase. Essentially, it...
conference paper 2015