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Impacts of problem scale and sampling strategy on surrogate model accuracy: An application of surrogate-based optimization in building design
Yang, D.; Sun, Y.; Di Stefano, D.; Turrin, M.; Sariyildiz, I.S. (2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)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 ... -
Sports building envelope optimization using Multi-objective Multidisciplinary Design Optimization (M-MDO) techniques
Yang, D.; Turrin, M.; Sariyildiz, I.S.; Sun, Y. (2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, 2015)Sports building envelopes are complex systems involving multiple architectural and engineering performance requirements that are sometimes in conflict with each other. Typically, daylight usage and energy efficiency, as ...
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