Hybridization of an evolutionary algorithm and simulations of co-evolutionary design processes for early-stage building spatial design optimization

Boonstra, Sjonnie; Blom, Koen van der; Hofmeyer, H.; Emmerich, Michael

doi:10.1016/j.autcon.2020.103522

Cited by 18 publications

(11 citation statements)

References 54 publications

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“…Decision-making relevant keywords were automatically clustered, which is consistent with the fact that they have a significant impact on SROSC (Boonstra et al 2021;. Investigators aim to improve the sustainability of OSC through scientific decision-making.…”

Section: Decision-makingmentioning

confidence: 54%

Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions

Luan

Yin

et al. 2022

J. Constr. Eng. Manage.

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Many countries and regions consider off-site construction a modern construction method that facilitates sustainability in the construction industry. Sustainability research in off-site construction (SROSC) is crucial for its development and is a nonnegligible part of its management. However, an in-depth understanding and critical analysis of SROSC to summarize recent research and inform future research directions are lacking. In this study, we address this issue by offering a mixed-review method integrating scientometric analysis and systematic review to explore state-of-the-art SROSC. We aim to uncover sustainability themes and topics, distinguish research trends, and identify gaps in knowledge that can be addressed in future research. Scientometric analysis was used to perform statistical analysis and visual map research on the knowledge landscape formed by 272 related studies of SROSC. The systematic review was used to identify and analyze six major knowledge themes (e.g., environmental, economic, social, decision-making, optimization, and industry management) and 21 knowledge topics for SROSC. We proposed possible future research directions based on the resulting structured body of knowledge. This research contributes to the body of knowledge by visualizing and analyzing the state-of-the-art of SROSC, as well as identifying the future research directions in this area to improve architectural, engineering, and construction practices.

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Section: Decision-makingmentioning

confidence: 54%

Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions

Luan

Yin

et al. 2022

J. Constr. Eng. Manage.

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“…Building spatial designs can be optimised on structural and thermal performance by using hybridisation of an evolutionary algorithm and simulations of coevolutionary design processes (Boonstra et al 2021). In such optimisation processes, there is not one perfect solution, but the algorithm searches for a range of possible solutions.…”

Section: A4 Genetic Algorithms and Applications In Building Design Pr...mentioning

confidence: 99%

Machine learning and genetic algorithms for conformal geometries in design support systems

Hassel¹,

Hofmeyer²,

Ezendam³

et al. 2023

ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction 2022

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“…With ongoing development, particularly in AI-based research, it is now even feasible to use methods like conceptual design, where different application areas are managed by algorithms for design ideas, morphogenesis, building shapes, and even design optimization. 36 For example, it is possible to apply intelligent concepts, in which knowledge discovery and decision making can be used in adaptive elements like façades. 37,38 As implied with these potentials, it is obligatory to use BIM models and digital twins with an outlook on smart homes and smart cities, particularly in the early stages of planning processes.…”

Section: Applications In Aec: Construction Robots and Other Examplesmentioning

confidence: 99%

“…In the architectural and engineering field, it is already possible to use digital support, for example, with the help of computer programs like calculation or modeling software (FEM or BIM). With ongoing development, particularly in AI‐based research, it is now even feasible to use methods like conceptual design , where different application areas are managed by algorithms for design ideas, morphogenesis, building shapes, and even design optimization 36 . For example, it is possible to apply intelligent concepts, in which knowledge discovery and decision making can be used in adaptive elements like façades 37,38 .…”

Section: Applications In Aec: Construction Robots and Other Examplesmentioning

confidence: 99%

Self‐organizing systems in the construction industry

Lohmann

Kölzer

Schaan

et al. 2023

Engineering Reports

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Self‐organization is found in numerous natural and artificial systems. For the construction industry, self‐organizing processes are not only applicable in managing or organizing tasks, they also provide insight into materials or can be implemented into operations on building sites. In this paper, the terms feedback, agents, emergence and self‐organization are described to provide an insight into the complex processes relevant to a lot of fields in the construction industry. For this, the principles of adaptive processes are transferred to artificial systems. Besides self‐organization in building materials, an outlook is given to describe construction sites as cyber‐physical systems. Inside such systems, agents learn to organize work tasks more efficiently, particularly with the help of reinforcement learning. In this regard, a transfer of natural self‐organization—which also exist in materials—to building processes is made. A combination of natural and artificial systems is presented to promote self‐organization for various fields of application in the construction industry, especially for building sites.

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Hybridization of an evolutionary algorithm and simulations of co-evolutionary design processes for early-stage building spatial design optimization

Cited by 18 publications

References 54 publications

Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions

Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions

Machine learning and genetic algorithms for conformal geometries in design support systems

Self‐organizing systems in the construction industry

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