title: ÐÐµÑÐ¾Ð´Ð¸ÐºÐ° Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð¿Ð¾Ð¸ÑÐºÐ° Ð¿ÑÐ¾ÐµÐºÑÐ½ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð´Ð¸Ð·Ð°Ð¹Ð½Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Methodology for automating the search for design solutions based on generative design technology
Creators: name: Ð¡Ð°Ð²Ð²Ð°ÑÐµÐµÐ², ÐÐ¼Ð¸ÑÑÐ¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð¥ÑÐ´Ð¾Ð¶ÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ðµ ÐºÐ¾Ð½ÑÑÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
Ð¡ÑÑÐ¾Ð¸ÑÐµÐ»ÑÑÑÐ²Ð¾
Ð°ÑÑ Ð¸ÑÐµÐºÑÑÑÐ½ÑÐµ ÑÐµÑÐµÐ½Ð¸Ñ
Ð¾Ð±ÑÐµÐ¼Ð½Ð¾-Ð¿Ð»Ð°Ð½Ð¸ÑÐ¾Ð²Ð¾ÑÐ½ÑÐµ ÑÐµÑÐµÐ½Ð¸Ñ
Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ Ð¿Ð¾Ð¸ÑÐºÐ° Ð¿ÑÐ¾ÐµÐºÑÐ½ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹
architectural solutions
volume-spatial solutions
automation of project solution search

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description: The topic of the graduation thesis is "Methodology for Automating the Search for Design Solutions Based on Generative Design Technology". The aim of this work is to implement methods for automating the design of volume-spatial solutions, where the generated solutions will comply with all architectural design technologies and requirements. To achieve the set goal, the following tasks have been identified in the dissertation research: 1) Analyze the experience of applying generative design in the field of architectural design, identify the key features of automation methods used to optimize and implement project volume-spatial solutions; 2) Develop a method for automating project volume-spatial solutions using parametric modeling and visual programming software; 3) Determine the practical value of applying generative design technology in the development of volume-spatial and spatial solutions. During this work, existing methods of generating design solutions using generative design were analyzed. Depending on the tasks and design conditions, each approach has its advantages and disadvantages and will be optimal in different areas of implementing project solutions and their analysis. In cases where the neural network fails to accomplish the assigned task and designers need to be involved to control the generated solutions, a hybrid method using programmable neural networks would be the optimal choice. If there is a well-trained neural network capable of completing the given task, as well as the required computational power, using artificial neural networks would be the optimal approach, ensuring accuracy and a variety of solutions without the need for designer intervention. Based on this, key aspects of architectural design were analyzed using the example of a residential complex to understand and establish the interaction with generative design. To implement the generation of architectural solutions for the residential complex, a methodology called "block development" was developed, which involves the automated placement of designated and typical blocks of residential buildings within the site space to maximize the total floor area of the residential buildings. This methodology was implemented in the Grasshopper visual programming software, demonstrating the capabilities of automated generation of design solutions. Generative design in the floor plans of residential multi-unit buildings provides ample opportunities for innovation, optimization, and meeting the various needs of residents. It allows for experimentation with different options, taking into account constraints and requirements, and creates unique and functional layouts that best suit the needs and comfort of future residents.