Architectural design of apartment buildings using the Implicit Redundant Representation Genetic Algorithm

2016 ◽  
Vol 72 ◽  
pp. 166-173 ◽  
Author(s):  
Hwayeon Song ◽  
Jamshid Ghaboussi ◽  
Tae-Hyun Kwon
2013 ◽  
Vol 50 ◽  
pp. 800-811 ◽  
Author(s):  
Dania González Couret ◽  
Pedro D. Rodríguez Díaz ◽  
Drey F. Abreu de la Rosa

2021 ◽  
Author(s):  
Markku Karjalainen ◽  
Hüseyin Emre Ilgın ◽  
Marie Yli-Äyhö ◽  
Anu Soikkeli

Increasing the construction of wooden apartment buildings has its place as part of preventing climate change. This chapter aims to explore the possibilities of expanding the construction of wooden apartment buildings on plots owned by the City of Helsinki in the Mellunkylä area by developing a series-produced wooden apartment building concept suitable for complementary construction—The Noppa concept. The sustainability of this approach is considered from the perspective of materials, construction methods, adaptability of the designed spaces, and housing design flexibility. In this study, the Noppa wooden apartment building concept with cross-laminated timber (CLT) elements has been developed varying in its facilities and architectural design features through architectural modeling programs to be used for complementary construction. The research findings are based on a theoretical approach that has not yet been practically tested but is proposed considering existing construction practices that need further investigation. It is believed that this chapter will contribute to the spread of wooden apartments to achieve a low-carbon economy as one of the key tools in tackling climate change problems. Particularly, proposed architectural design solutions will contribute to decarbonization of buildings as well as zero energy building (nZEB) approach.


Author(s):  
Samer Mohamed Saleh Trissi, Mohamed Najib Kayali, Ahmed Haj Samer Mohamed Saleh Trissi, Mohamed Najib Kayali, Ahmed Haj

This research aims to find innovative design solution to create sustainable compound residential towers in Aleppo city, for the reconstruction phase, by using the concept of sustainability and benefiting from natural energy sources. International organizations and many countries are interested in applying sustainable architecture standards, reducing emissions, mitigating pollution, and reducing long- term operating costs for buildings by making the most of natural resources. Tower buildings are among the most important design models that have been subject to the concepts of sustainability and their applications, due to their consumption of large amounts of energy. This research presents a study of a sustainable design for a residential compound tower, for the reconstruction phase in Aleppo city, using the genetic algorithm within the Grasshopper program. The tower design Idea depends on developing and linking the basic design idea of ​​the project with main design determinants such as dimensions, heights and other variables, including location and climatic characteristics, and then creating a barometric chart for these connections within the Grasshopper program. This chart links to the Galapagos tool, which is responsible for running the genetic algorithm. The random structure is generated when the algorithm started, and as a result of the cross- breeding, more advanced generations are created. The process continues to reach the most appropriate environmentally sustainable form to reduce the heat load acquired in summer. The model is evaluated environmentally using Ladybug simulation software, to provide solutions for modular residential towers that fit the local environment of Aleppo city. The results of the research showed that the solar heat load was reduced by adopting the genetic algorithm to find the most suitable configuration for the tower. The amount of reduction is 35% between the initial solutions and the final approved solution. The research also revealed that the use of green roofs reduces the heat load by 20%. The research also showed the effect of using shading facades. On the southern, western and eastern directions, the heat gain was reduced by 5%.


1997 ◽  
Vol 5 (3) ◽  
pp. 277-302 ◽  
Author(s):  
Anne M. Raich ◽  
Jamshid Ghaboussi

A new representation combining redundancy and implicit fitness constraints is introduced that performs better than a simple genetic algorithm (GA) and a structured GA in experiments. The implicit redundant representation (IRR) consists of a string that is over-specified, allowing for sections of the string to remain inactive during function evaluation. The representation does not require the user to prespecify the number of parameters to evaluate or the location of these parameters within the string. This information is obtained implicitly by the fitness function during the GA operations. The good performance of the IRR can be attributed to several factors: less disruption of existing fit members due to the increased probability of crossovers and mutation affecting only redundant material; discovery of fit members through the conversion of redundant material into essential information; and the ability to enlarge or reduce the search space dynamically by varying the number of variables evaluated by the fitness function. The IRR GA provides a more biologically parallel representation that maintains a diverse population throughout the evolution process. In addition, the IRR provides the necessary flexibility to represent unstructured problem domains that do not have the explicit constraints required by fixed representations.


1888 ◽  
Vol 25 (647supp) ◽  
pp. 10339-10341
Author(s):  
H. H. Statham
Keyword(s):  

1994 ◽  
Vol 4 (9) ◽  
pp. 1281-1285 ◽  
Author(s):  
P. Sutton ◽  
D. L. Hunter ◽  
N. Jan

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