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Showing 6 results for Optimization

Alireza Entezari, Fatemeh Mayvaneh, Froogh Khazaeenejad,
Volume 20, Issue 56 (3-2020)

The purpose of this research is to study the comfort conditions and determine the best measures for design and architecture compatible with the climate in Yazd. In this regard, the climatic data of Yazd city has been used in EPW format during the period (1981-2017). The results of the study of temperature and relative humidity also showed that temperatures of more than 38 ° C are visible in June and July. This suggests the need for a shadow in the architecture of the climate. In July, the discomfort conditions prevail over the entire day. From June to October (midday to midnight), midnight hours due to low humidity (38%) and high temperatures, conditions of discomfort and drought are very visible. The highest humidity is in the cold months of the year. In the wind hours of February to May (February to April), there is a discomfort. Also, according to the overall radiation pattern at different hours of the day, it was also shown that 25% of the daylight hours is very high and non-comfort, and 8% are in comfort conditions, which is more related to the cold weather of the year and the early hours And the end of the day. In general, due to the climate of Yazd city and the results of analysis, 20 strategies for architectural design have been used.
In general, due to the climate of Yazd city and the results of analysis, 20 strategies for architectural design have been used.
Mrs Mehrnaz Rezvani, Mr Yosefali Ziari, Mr Naser Eghbali, Mr Hosein Mojtabazade Khanghahi,
Volume 20, Issue 57 (6-2020)

Urban land utilize planning, for optimal use of existing facilities and urban spaces is one of the main cores of urban planning, which is usually defined as a multi-objective issue. In line with the absence of specific categorization, system for land use in Iran the use of metaheuristic algorithm and artificial intelligence is required. One of the algorithms that introduced and used in recent years are the optimization algorithm (BBO) based on biogeography. Current research is from practical research group and type of descriptive-analytic research, the data analysis method would be write and execute in MATLAB software by using biogeography algorithm. The purpose, after identifying most effective variable, will be to improve the present status of the system's distribution use indicators and their adjacency in the county surface. For comparing the results of current research, in terms of desired area needed uses with development plan of Semnan County, each dimension of (GIS) layer should be provide.overlapping of the layers would be compare with development design.

Dr Mohammad Hosein Saraei, Dr Mohammad Reza Rezaei, Mr Mohsen Adeli,
Volume 21, Issue 61 (6-2021)

The route optimization process is one of the analyzes that can be used when there is a constraint on resources and time, including post-earthquake conditions. In this research, this analysis has been used to solve the Travelling Salesman Problem. In this case, the goal is finding the shortest path between a set of points and the algorithm will try to minimize the transmission costs and target function. This paper due to target, is practical and developmental, due to doing method is descriptive and analytical and due to information gathering method is documental and surveying. In order to implement this problem, by considering to the strict scenario of accessing resources, two algorithms including the Ant Colony Optimization and Imperialist Competition Algorithm in the MATLAB environment with the Dijkstra algorithm in the GIS environment have been used. The view points of the model are areas that prepared to temporary post-earthquake settlement in Gorgan city and the spatial and temporal real-time distances in the urban network are used instead of Euclidian distances. The results of the implementation of the model have shown that the Ant Colony Optimization has performed the route optimization in two parameters of time and distance more effectively than the two dijkstra and Imperialist Competition Algorithm.
Pariz Amiri Ade, Saeed Tizghalam Zenozi, Mehrdad Javidi Nejad,
Volume 22, Issue 65 (6-2022)

this study is designed to investigate the impact of micro climatic factors on optimizing energy consumption in Tehran urban buildings. The present study is of applied purpose and analytical method. Libraries and documents were used to collect the required data. Design Builder software was used to achieve the purpose of the research. The information given to the software is the thickness of the walls: exterior 20 cm - internal 15 cm, south windows (double shell balcony with 40% glass), northern windows 30%, brick exterior walls with natural ventilation were used. The results of this study showed that the orientation of the building on the site due to Tehran climate and the results obtained from Ecotect software was rotated about 25 degrees to the southwest to prevent direct sunlight from the east and west. And reduce the heat loads on the building. The volume of the building was designed in a stepped fashion, and while it could aesthetically enhance its strength, it could reduce the wind load on the upper floors. Green roofs were also designed on the exposed roofs, and according to the results of the analysis, the green roof can be very effective in reducing heating and cooling loads. The eastern and western fronts were also considered to be non-popping because of the results obtained in Design Builder software for daylight, which may result in dazzling workspaces such as kitchens sometimes day in the year.

Mr Meysam Zekavat, Mrs Mansoureh Tahabaz, Mr Mohammad Reza Hafezi,
Volume 23, Issue 70 (10-2023)

Buildings are one of the main pillars of economic and social development of countries that consume a large part of energy and natural resources. The purpose of writing this article is to calculate the energy consumption of a building in one year, determine the energy label and then optimize some of its features in order to reduce construction costs and reduce energy consumption of the operation phase. Is. The study area is common residential buildings in Tehran. The research method to achieve this goal is as follows: First, according to the licensing statistics of Tehran Municipality, a 5-storey southern building was selected on a land with an area of ​​320 square meters and an infrastructure of about 1100 square meters, which represents a large number of buildings in Tehran. Be. Then, by simulating the building considered in Builder Design software, the amount of gas consumption is 145.53 kWh per square meter, electricity consumption is 81.25 kWh per square meter and a total of 226.79 kWh per meter. The square was calculated per year. With this consumption, according to standard 14253, the building receives energy label C. Then, with the aim of reducing the cost of construction and energy consumption during operation, it was optimized with a genetic algorithm. Research variables, type of exterior wall (pottery or Leica), exterior (stone or brick), type of window glass (plain or low emission), type of gas between the layers of window glass (air or argon) and the ratio of the window to the south front surface (15 % -30% -45% -60%) were built. The results indicate that the best possible scenarios for the exterior facade, stone, low-emission double-glazed windows with argon gas, the outer wall of the pottery with a window-to-south front ratio of 22.5% or Leica, with a window ratio At the level of the southern front, it is 37.5%.
Dr Shahrivar Rostaei, Dr Rahim Heydari Chyaneh, Mr Ayoub Zoghi,
Volume 25, Issue 76 (4-2025)

The occurrence of earthquakes and the losses and damages caused by it have always imposed a serious threat to the city, residents and assets, so that it has made planners and city managers to provide logical and scientific solutions to make cities safer. Securing cities against earthquakes will not be achieved only by creating strong structures, and we must take steps to reduce urban vulnerability through optimizing urban land use. The purpose of this study is to determine the optimal urban areas for the development of the city with the aim of reducing the vulnerability of Sanandaj. For this purpose, KNN method has been used as a model with relatively high accuracy to evaluate the optimal land use of Sanandaj city with an emphasis on earthquake risk. The obtained model output shows that about 32% of the city area is in optimal condition and district 2 with 42.78% equivalent to 406 hectares and district 4 with 50.85% equivalent to 658 hectares provide an optimal condition for the development of the city, towards reducing urban vulnerability and increasing urban land use optimization. The general condition of the city is not suitable in terms of optimality and the neighborhoods located in districts 1 and 2 are in a very inappropriate condition due to high population and residential density, very poor permeability and low adaptation of land uses. In evaluating the model, the value of the area under curve is 0.951, which indicates the desirable performance of the model in examining the subject. 

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