Automated layout of modular high-rise residential buildings based on genetic algorithm

Fan, Zhen; Liu, Jiepeng; Wang, Lufeng; Cheng, Guozhong; Liao, Mou-Yuan; Liu, Pengkun; Chen, Y. Frank

doi:10.1016/j.autcon.2023.104943

Cited by 17 publications

(3 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A typical living room interior is composed of five factors of a sofa, and participants are instructed to use the IGA system to find the ideal color combination of these five factors [43]. Fan Z, Liu J, Wang L, and other scholars proposed a new method of an MHRB automatic layout based on genetic algorithm in the paper "Automated layout of modular high-rise residential buildings based on genetic algorithm" [44]. These studies have shown the application prospects of interactive genetic algorithms in architectural design, urban planning, and other fields.…”

Section: Discussionmentioning

confidence: 99%

Chromatics in Urban Landscapes: Integrating Interactive Genetic Algorithms for Sustainable Color Design in Marine Cities

Zhang,

Kim

2023

Applied Sciences

View full text Add to dashboard Cite

Color design plays a pivotal role in determining whether marine urban landscapes meet the diverse needs of individuals, encompassing their visual, psychological, behavioral, and spiritual dimensions. In the contemporary urban environment, a host of practical challenges, including severe color pollution, the absence of regional cultural characteristics, and a lack of humanistic sensitivity in public spaces’ color schemes, necessitates a thorough exploration of the intricate relationship between color and human psychological needs within environmental contexts. This study leverages the potential of interactive genetic algorithms as a powerful tool for innovative color design solutions. Anchored in the nexus of the environment, human psychology, and color theory, this research delves into the intricate nuances of marine urban landscape color. Employing a comprehensive approach that combines questionnaires and extensive field surveys, we seek to elucidate the critical interplay between color and human well-being. Drawing upon the case study of Zhuhai Shijingshan Park, we harness the principles of interactive genetic algorithms to iteratively design marine urban color patterns. Through this experimentation, our study unveils novel design strategies that harmonize with the psychological idiosyncrasies of the human–environment interface. Specifically, the findings of our research highlight the profound impact of color selection on the emotional and behavioral responses of individuals within marine urban landscapes. Our study contributes vital insights into the art and science of marine urban color design, shedding light on the nuanced ways in which color choices can enhance the quality of urban spaces and promote human well-being. This research endeavors to bridge the gap between marine urban design and human psychology through a comprehensive exploration of color design in marine urban landscapes. By addressing the practical challenges and leveraging innovative design techniques, we strive to provide a holistic understanding of the symbiotic relationship between color and human experience, ultimately enriching the design practices that shape our urban environments.

show abstract

Section: Discussionmentioning

confidence: 99%

Chromatics in Urban Landscapes: Integrating Interactive Genetic Algorithms for Sustainable Color Design in Marine Cities

Zhang,

Kim

2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Through repeated differential games of behavior patterns on the basis of negotiation, the oceanauts achieved the best equilibrium state Pareto optimal solution that satisfied multiple interests. In addition, researchers have also developed intelligent algorithms such as simulated annealing [12,13], ant colony optimization, genetic algorithms [14][15][16][17], tabu search algorithm [18,19], etc.…”

Section: Introductionmentioning

confidence: 99%

Optimization Method for Control Panel Layout of Manned Submarine Vehicle Based on Genetic-Ant Colony Algorithm

Xie,

Qiao,

Shi

et al. 2024

Preprint

View full text Add to dashboard Cite

In traditional computer-aided design methods for manned submersible control panel layout, interactive input and modification are commonly used, which can’t support a global optimization process for the design layout. Therefore, the genetic-ant algorithm is introduced into the design of manned submersible control panel layouts. Based on the cognitive characteristics of humans, layout optimization principles are summarized and incorporated into the objective function variables during the optimization process. The fitness function, pheromone, and heuristic information expressions for optimizing the control panel layout of manned submersibles are studied to establish the genetic-ant algorithm flow for use in the optimization design process. Taking the control panel layout design of a certain type of manned submersible as an example, multi-objective optimization calculations are performed to quantify the layout principles and combine them with the algorithm, thus verifying the feasibility of the proposed method.

show abstract

“…In terms of genetic algorithms, many scholars have carried out the multi-objective optimization of building design based on genetic algorithms [15], and some research has improved this, using genetic algorithms and artificial neural networks for the multi-objective optimization of building design [16]. Some scholars have also proposed a method for generating the layout of modular high-rise residential buildings (MHRB) based on genetic algorithms [17]. Turrin used parametric modeling and genetic algorithms to design buildings, taking the example of solar energy transmission to the roof.…”

Section: Introductionmentioning

confidence: 99%

Harnessing Energy Balance and Genetic Algorithms for Efficient Building Demolition

Chen,

Wang,

Lin

2023

Applied Sciences

View full text Add to dashboard Cite

In the realm of building demolition, ensuring the uniform distribution of energy from multiple sources is of paramount significance for the systematic deconstruction of large structures. This study presents an integrated methodology that combines genetic optimization and potential energy balance to determine the most suitable locations for multiple energy release points, thereby enhancing the efficiency and reliability of the demolition process. We initiate our approach by randomly selecting energy release points within a building model and subsequently simulate energy dispersion utilizing a potential function until reaching stable boundaries. In instances where the discrepancy in the area between the regions with maximum and minimum energy dispersion exceeds a predefined threshold, we instigate an optimization process employing genetic algorithms. This optimization process involves genetic crossover and mutation operations, followed by subsequent energy balance calculations. The result is not only an improvement in demolition efficiency but also an assurance of even energy coverage throughout the target area.

show abstract

Automated layout of modular high-rise residential buildings based on genetic algorithm

Cited by 17 publications

References 46 publications

Chromatics in Urban Landscapes: Integrating Interactive Genetic Algorithms for Sustainable Color Design in Marine Cities

Chromatics in Urban Landscapes: Integrating Interactive Genetic Algorithms for Sustainable Color Design in Marine Cities

Optimization Method for Control Panel Layout of Manned Submarine Vehicle Based on Genetic-Ant Colony Algorithm

Harnessing Energy Balance and Genetic Algorithms for Efficient Building Demolition

Contact Info

Product

Resources

About