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Toplam kayıt 6, listelenen: 1-6
Impacts of problem scale and sampling strategy on surrogate model accuracy: An application of surrogate-based optimization in building design
(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
(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 ...
Performance-based parameterization strategies
(Open Systems - Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2013, 2013)
In this paper, alternative approaches to structure the parametric geometry in relation to information on various performances are described and exemplified. They relate to different levels of knowledge that concern the ...
Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 2: Optimisation problems, algorithms, results, and method validation
(Elsevier, 2021)
High-rise building optimisation is becoming increasingly relevant owing to global population growth and urbanisation trends. Previous studies have demonstrated the potential of high-rise optimisation but have been focused ...
Performative computational architecture using swarm and evolutionary optimisation: A review
(Building and Environment, 2019)
This study presents a systematic review and summary of performative computational architecture using swarm and evolutionary optimisation. The taxonomy for one hundred types of studies is presented herein that includes ...
Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 1: Background, methodology, setup, and machine learning results
(Elsevier, 2021)
Designing high-rise buildings is one of the complex tasks of architecture because it involves interdisciplinary performance aspects in the conceptual phase. The necessity for sustainable high-rise buildings has increased ...