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Yang, D. (author), Di Stefano, Danilo (author), Turrin, M. (author), Sariyildiz, I.S. (author), Sun, Yimin (author)
Simulation-Based Multi-Objective Optimization (SBMOO) methods are being increasingly used in conceptual architectural design. They mostly focus on the solving, rather than the re-formulation, of a Multi-Objective Optimization (MOO) problem. However, Optimization Problem Re-Formulation (Re-OPF) is necessary for treating ill-defined conceptual...
journal article 2020
document
Yang, D. (author), Ren, Shibo (author), Turrin, M. (author), Sariyildiz, I.S. (author), Sun, Y. (author)
The benefits of applying multi-objective optimization (MOO) in building design have been increasingly recognized in recent decades. The existing or traditional computational design optimization (CDO) approaches mostly focus on optimization problem solving (OPS), as they often conduct optimizations directly by assuming the optimization...
journal article 2018
document
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