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Designing self-sufficient floating neighborhoods using computational decision support
(2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, 2015)
Floating settlements, which introduce further design complexities over traditional developments, have become an alternative for urban development due to climate change and shortage of land. This study aims to develop a ...
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 ...
A Multi-Objective Harmony Search Algorithm for Sustainable Design of Floating Settlements
(MDPI AG, 2016)
This paper is concerned with the application of computational intelligence techniques to the conceptual design and development of a large-scale floating settlement. The settlement in question is a design for the area of ...
Approximation of simulation-derived visual comfort indicators in office spaces: a comparative study in machine learning
(TAYLOR & FRANCIS LTD, 2016)
In performance-oriented architectural design, the use of advanced computational simulation tools may provide valuable insight during design. However, the use of such tools is often a bottleneck in the design process, given ...
Multi-Objective Skylight Optimization for a Healthcare Facility Foyer Space
(IEEE, 2017)
In this paper, the design of a specific case study of a foyer space is concerned in healthcare facility. The design task of a healthcare facility in architectural perspective is one of the most challenging tasks in the ...
Multi-Objective Optimization Through Differential Evolution for Restaurant Design
(IEEE, 2016)
This paper presents the results obtained by NSGA-II and jDEMO on a restaurant design optimization in the conceptual phase. A multi-objective problem is formulated by considering the minimization of investment and the ...
Multi-Objective Optimization For Shading Devices in Buildings By Using Evolutionary Algorithms
(IEEE, 2016)
The reduction of energy consumption is a major challenge around the world. Architectural aspects have a significant place to minimize energy consumption to the maximum level. The use of large glazed facades causes overheating ...
Impacts of Problem Scale and Sampling Strategy on Surrogate Model Accuracy An Application of Surrogate-based Optimization in Building Design
(IEEE, 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 ...
Review of simulation modeling for shading devices in buildings
(PERGAMON-ELSEVIER SCIENCE LTD, 2016)
Many countries around the world are confronted with the challenge of decreasing energy consumption, while the use of electrical appliances is continuously increasing in buildings. The requirement to minimize the energy ...
A Multi-Objective Self-Adaptive Differential Evolution Algorithm for Conceptual High-Rise Building Design
(IEEE, 2016)
This paper presents a multi-objective self-adaptive differential evolution algorithm to solve the form-finding problem of high-rise building design in the conceptual phase. The aim of the research is to reach suitable ...