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OPTIMUS: Self-Adaptive Differential Evolution with Ensemble of Mutation Strategies for Grasshopper Algorithmic Modeling
(MDPI, 2019)
Most of the architectural design problems are basically real-parameter optimization problems. So, any type of evolutionary and swarm algorithms can be used in this field. However, there is a little attention on using ...
A simulation-based methodology for the analysis of the effect of lean tools on energy efficiency: An application in power distribution industry
(ELSEVIER SCI LTD, 2019)
In recent years, there has been an increasing interest in energy consumption in manufacturing systems due to the rising environmental awareness in society as well as the necessity of being cost-effective in the global ...
Performative computational architecture using swarm and evolutionary optimisation: A review
(PERGAMON-ELSEVIER SCIENCE LTD, 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-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 ...
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 ...
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 ...
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 ...
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 ...
Time-Cost Optimization at the Conceptual Design Stage Using Differential Evolution Case of Single Family Housing Projects in Germany
(IEEE, 2015)
Concurrent minimization of construction cost and duration is a challenging task for architects through conceptual design. Using differential evolution (DE), this study aims to obtain optimum design solutions that minimize ...